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  • 1.
    Synnes, Kåre
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Artopoulos, Georgios
    The Cyprus Institute, Nicosia, Cyprus.
    Smaniotto Costa, Carlos
    Universidade Lusófona, Lisbon, Portugal.
    Menezes, Marluci
    National Laboratory for Civil Engineering – LNEC, Lisbon, Portugal.
    Redaelli, Gaia
    Politecnico di Milano, Milan, Italy.
    CyberParks Songs and Stories - Enriching Public Spaces with Localized Culture Heritage Material such as Digitized Songs and Stories: Enriching Public Spaces with Localized Culture Heritage Material such as Digitized Songs and Stories2019In: CyberParks - The Interface Between People, Places and Technology: New Approaches and Perspectives / [ed] Carlos Smaniotto Costa, Springer, 2019, p. 224-237Chapter in book (Refereed)
    Abstract [en]

    This chapter offers theoretical considerations and reflections on technological solutions that contribute to digitally supported documentation, access and reuse of localised heritage content in public spaces. It addresses immaterial cultural heritage, including informal stories that could emerge and be communicated by drawing hyperlinks between digitised assets, such as songs, images, drawings, texts and more, and not yet documented metadata, as well as augmenting interaction opportunities with interactive elements that relate to multiple media stored in databases and archives across Europe. The aim is to enable cultural heritage to be experienced in novel ways, supported by the proliferation of smartphones and ubiquitous Internet access together with new technical means for user profiling, personalisation, localisation, contextawareness and gamification. The chapter considers cyberparks as digitally enhanced public spaces for accessing and analyzing European cultural heritage and for enriching the interpretation of the past, along with theoretical ramifications and technological limitations. It identifies the capacities of a proposed digital environment together with design guidelines for interaction with cultural heritage assets in public spaces. The chapter concludes with describing a taxonomy of digital content that can be used in order to enhance association and occupation conditions of public spaces, and with discussing technological challenges associated with enriching public spaces with localized cultural heritage material.

  • 2. de Lange, Michiel
    et al.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Leindecker, Gerald
    Smart Citizens in the Hackable City: On the Datafication, Playfulness, and Making of Urban Public Spaces Through Digital Art2019In: CyberParks – The Interface Between People, Places and Technology: New Approaches and Perspectives / [ed] Carlos Smaniotto Costa, Ina Šuklje Erjavec, Therese Kenna, Michiel de Lange, Konstantinos Ioannidis, Gabriela Maksymiuk, Martijn de Waal, Springer Nature , 2019, p. 157-166Chapter in book (Refereed)
    Abstract [en]

    This contribution explores concepts, approaches and technologies used to make urban public spaces more playful and artful. Through a variety of compelling narratives involving play and art it assists in the design of new cyberparks, public spaces where digitally mediated interactions are an inherent part. How can play and interactive art be used to strengthen urban public spaces by fostering citizen engagement and participation? We propose to not only utilise interactive media for designing urban (public) spaces, but also for social innovation for the benefit of citizens. in cyberparks. The contribution connects urbanity, play and games, as well as concepts of active and passive interactive digital art as part of trends towards pervasive urban interaction, gameful design and artification. We position this as an important part of developing human-centred smart cities where social capital is central, and where citizens engaging in play and art are prerequisites for sustainable communities. Using art, play and games to foster citizen engagement and collaboration is a means to develop social technologies and support the development of collective intelligence in cyberparks. This is studied in concrete cases, such as the Ice Castle in Luleå, Sweden and the Ars Electronica in Linz, from a multi-disciplinary stance involving interaction design, digital art, landscape design, architecture, and health proficiencies. We will analyse two cases of gameful design and one case of digital interactive art being used to address urban issues. Rezone the game is an interactive multimedia game developed to tackle vacancy in the city of Den Bosch in the Netherlands. The Neighbourhood is a board game developed to involve various stakeholders in making their neighbourhood using water as a collective resource.

  • 3.
    Cruciani, Frederico
    et al.
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Cleland, Ian
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Nugent, Chris
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    McCullagh, Paul
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Automatic annotation for human activity recognition in free living using a smartphone2018In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 7, article id 2203Article in journal (Refereed)
    Abstract [en]

    Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, especially in the case of online and personalized approaches requiring user specific datasets to be labeled. The availability of such datasets has the potential to help address common problems of smartphone-based HAR, such as inter-person variability. In this work, we present (i) an automatic labeling method facilitating the collection of labeled datasets in free-living conditions using the smartphone, and (ii) we investigate the robustness of common supervised classification approaches under instances of noisy data. We evaluated the results with a dataset consisting of 38 days of manually labeled data collected in free living. The comparison between the manually and the automatically labeled ground truth demonstrated that it was possible to obtain labels automatically with an 80–85% average precision rate. Results obtained also show how a supervised approach trained using automatically generated labels achieved an 84% f-score (using Neural Networks and Random Forests); however, results also demonstrated how the presence of label noise could lower the f-score up to 64–74% depending on the classification approach (Nearest Centroid and Multi-Class Support Vector Machine).

  • 4.
    Synnes, Kåre
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lilja, Margareta
    Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.
    Nyman, Anneli
    Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.
    Espinilla, Macarena
    Cleland, Ian
    Sanchez Comas, Andres Gabriel
    Comas Gonzalez, Zhoe Vanessa
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Karvonen, Niklas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Ourique de Morais, Wagner
    Cruciani, Federico
    Nugent, Chris
    H2Al - The Human Health and Activity Laboratory2018In: 12th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI 2018), Punta Cana, Dominican Republic, 4-7 December, 2018. / [ed] MDPI, MDPI, 2018, Vol. 2, article id 1241Conference paper (Refereed)
    Abstract [en]

    The Human Health and Activity Laboratory (H2Al) is a new research facility at Luleå University of Technology implemented during 2018 as a smart home environment in an educational training apartment for nurses and therapists at the Luleå campus. This paper presents the design and implementation of the lab together with a discussion on potential impact. The aim is to identify and overcome economical, technical and social barriers to achieve an envisioned good and equal health and welfare within and from home environments. The lab is equipped with multiple sensor and actuator systems in the environment, worn by persons and based on digital information. The systems will allow for advanced capture, filtering, analysis and visualization of research data such as A/V, EEG, ECG, EMG, GSR, respiration and location while being able to detect falls, sleep apnea and other critical health and wellbeing issues. The resulting studies will be aimed towards supporting and equipping future home environments and care facilities, spanning from temporary care to primary care at hospitals, with technologies for activity and critical health and wellness issue detection. The work will be conducted at an International level and within a European context, based on a collaboration with other smart labs, such that experiments can be replicated at multiple sites. This paper presents some initial lessons learnt including design, setup and configuration for comparison of sensor placements and configurations as well as analytical methods.

  • 5.
    Cruciani, Federico
    et al.
    Ulster University.
    Cleland, Ian
    Ulster University.
    Nugent, Chris
    Ulster University.
    McCullagh, Paul
    Ulster University.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Personalized Online Training for Physical Activity monitoring using weak labels2018In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, 2018, p. 567-572Conference paper (Refereed)
    Abstract [en]

    The use of smartphones for activity recognition is becoming common practice. Most approaches use a single pretrained classifier to recognize activities for all users. Research studies, however, have highlighted how a personalized trained classifier could provide better accuracy. Data labeling for ground truth generation, however, is a time-consuming process. The challenge is further exacerbated when opting for a personalized approach that requires user specific datasets to be labeled, making conventional supervised approaches unfeasible. In this work, we present early results on the investigation into a weakly supervised approach for online personalized activity recognition. This paper describes: (i) a heuristic to generate weak labels used for personalized training, (ii) a comparison of accuracy obtained using a weakly supervised classifier against a conventional ground truth trained classifier. Preliminary results show an overall accuracy of 87% of a fully supervised approach against a 74% with the proposed weakly supervised approach.

  • 6.
    Bai, Emilien
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Supporting Collaborative Care of Elderly through a Reward System based on Distributed Ledger Technologies2018In: International Journal On Advances in Life Sciences, ISSN 1942-2660, E-ISSN 1942-2660, Vol. 10, no 1-2, p. 90-102Article in journal (Refereed)
    Abstract [en]

    This paper discusses supporting collaborative care of elderly through a reward system based on distributed ledger technologies. The design and implementation of such a reward system that connect elderly and volunteers by mutual agreements involve technologies such as smart contracts and blockchains. The work is motivated by the demographic change, where an aging population consequently increases the need for care. This causes a great tension in our society, as care resources become increasingly constrained, both regarding costs and availability of care staff. Much of the daily care of the elderly is today done by family members (spouses, children) and friends, often on a voluntarily basis, which adds to the tension. The core idea of this work is to help broaden the involvement of people in caring for our elderly, enabled by a system for collaborative care. The proposed system benefits from recent advances in distributed ledger technologies, which similarly to digital currencies, are build on the ability for mutual agreements between people who do not know each other. The system also benefits from recent gamification techniques to motivate people to collaborate on a larger scale through performing simple daily tasks. The proposed system benefits from inherent distributed ledger technologies advantages, such as a high level of decentralization, thus a high availability, and strong data consistency. These advantages make it interesting to develop the possible links between blockchains and the outside world to allow for a higher level of automation and distribution of services such as collaborative care. New models for distributed ledger technologies, such as Iota tangles or the Swirld platform, may however scale and perform better than blockchains. These should thus be considered for a full implementation and test of the system. In summary, this paper presents a novel framework and prototype implementation of a reward system supporting collaborative care of elderly, that is based on distributed ledger technologies.

  • 7.
    Bai, Emilien
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    A Reward System for Collaborative Care of Elderly based on Distributed Ledger Technologies2017In: Proceedings of the Eleventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies: UBICOMM 2017, 2017Conference paper (Refereed)
    Abstract [en]

    This paper presents the design and implementation of a reward system for collaborative care of elderly based on distributed ledger technologies. The work is motivated by the demographic change, where an aging population consequently increases the need for care. This causes a great tension in our society, as care resources become increasingly constrained, both regarding costs and availability of care staff. Much of the daily care of the elderly is today done by family members (spouses, children) and friends, often on a voluntarily basis, which adds to the tension. The core idea of this work is to help broaden the involvement of people in caring for our elderly, enabled by a system for collaborative care. The proposed system benefits from recent advances in distributed ledger technologies, which similarly to digital currencies, are build on the ability for mutual agreements between people who do not know each other. The system also benefits from recent gamification techniques to motivate people to collaborate on a larger scale through performing simple daily tasks. The system builds on rewards automatically given when these smart contracts are fulfilled, a gamification technique that is believed to maintain motivation of the volunteers. In this paper, we thus describe a reward system designed to connect elderly and volunteers by mutual agreements implemented as smart contracts. 

  • 8.
    Visuri, Aku
    et al.
    Center for Ubiquitous Computing, University of Oulu.
    Ferreira, Denzil
    Center for Ubiquitous Computing, University of Oulu.
    Pirttikangas, Susanna
    Center for Ubiquitous Computing, University of Oulu.
    Kotakos, Vassilis
    University of Melbourne.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lindqvist, Janne K.O.
    Rutgers University.
    Nishiyama, Yuuki
    Keio University.
    UbiMI'17: Ubiquitous mobile instrumentation2017In: UbiComp/ISWC 2017: Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers11 September 2017, New York: Association for Computing Machinery (ACM), 2017, p. 448-451Conference paper (Refereed)
    Abstract [en]

    Mobile devices (smartphones, smartwatches, etc.) allow us to reach people anywhere, anytime. Collectively, these devices form a ubiquitous computer that offers valuable insights on the user. In addition to the benefits for researchers and developers, explored in previous UbiMI workshops, devices can also help individuals understand their own health, activities, and behaviour. The Ubiquitous Mobile Instrumentation (UbiMI) workshop focuses on using mobile devices as instruments to collect sensing data, to understand human-behaviour and routines, and to gather users' context using sensor instrumentation

  • 9.
    Synnes, Kåre
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kranz, Matthias
    University of Passau.
    Rana, Juwel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Schelén, Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    User-Centric Social Interaction for Digital Cities2017In: The internet of things: breakthroughs in research and practice, IGI Global, 2017, p. 41-70Chapter in book (Refereed)
    Abstract [en]

    Pervasive Computing was envisioned by pioneers like Mark Weiser, but has yet to become an everyday technology in our society. The recent advances regarding Internet of Things, social computing and mobile access technologies however converge to make pervasive computing truly ubiquitous. The key challenge is however to make simple and robust solutions for normal users, which shifts the focus from complex platforms involving machine learning and artificial intelligence to more hands on construction of services that are tailored or personalized for individual users.This chapter therefore discusses Internet of Things together with Social Computing as a basis for components that users in a ’digital city’ could utilize to make their daily life better, safer, etc. A novel environment for user-created services, such as social apps, is presented as a possible solution for this. The vision is that anyone could make simple service based on Internet-enabled devices (Internet of Things) and encapsulated digital resources such as Open Data, which also can have social aspects embedded.This chapter also aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This work will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead of now. The purpose is to create a common outlook on the future of information and communication technologies (ICT) based on the extrapolation of current trends and ongoing research efforts.

  • 10.
    Nugent, Chris
    et al.
    School of Computing and Mathematics, Ulster University.
    Synnott, Jonathan
    School of Computing and Mathematics, Ulster University .
    Celeste, Gabrielle
    Dipartimento dell’ingegneria dell’informazione, Universita Politecnica Delle Marche, Ancona, .
    Zhang, Shuai
    School of Computing and Mathematics, Ulster University.
    Espinella, Macarena
    Department of Computer Sciences, University of Jaen, .
    Calzada, Alberto
    School of Computing and Mathematics, Ulster University.
    Lundström, Jens
    School of Information Technology, Halmstad University, Halmstad, Sweden.
    Cleland, Ian
    School of Computing and Mathematics, Ulster University.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Spinsante, Susanna
    Dipartimento dell’ingegneria dell’informazione, Universita Politecnica Delle Marche, Ancona.
    Ortiz Barrios, Miguel Angel
    Industrial Engineering Department, Universidad de La Costa CUC, Barranquilla, .
    Improving the Quality of User Generated Data Sets for Activity Recognition2016In: Ubiquitous Computing and Ambient Intelligence: 10th International Conference, UCAmI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29 – December 2, 2016, Part II / [ed] Carmelo R. García, Pino Caballero-Gil, Mike Burmester, Alexis Quesada-Arencibia, Springer, 2016, Vol. 2, p. 104-110Conference paper (Refereed)
    Abstract [en]

    It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collected using a smart environment simulation tool. A noticeable difference was found in the first 1–2 cycles of users generating data. Further analysis demonstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.

  • 11.
    Beattie, Mark
    et al.
    Computer Science Research Institute and School of Computing and Mathematics, University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nugent, Chris D.
    University of Ulster. School of Computing and Mathematics, University of Ulster, Computer Science Research Institute, University of Ulster.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Cleland, Ian
    University of Ulster. School of Computing and Mathematics.
    Lee, Sungyoung
    Ubiquitous Computing Laboratory, Kyung Hee University, Seocheon-dong, Giheung-gu.
    A Collaborative Patient-Carer Interface for Generating Home Based Rules for Self-Management2015In: Smart Homes and Health Telematics: 12th International Conference, ICOST 2014, Denver, CO, USA, June 25-27, 2014, Revised Papers / [ed] Cathy Bodine; Sumi Helal; Tao Gu; Mounir Mokhtari, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 93-102Conference paper (Refereed)
    Abstract [en]

    The wide spread prevalence of mobile devices, the decreasing costs of sensor technologies and increased levels of computational power have all lead to a new era in assistive technologies to support persons with Alzheimer’s disease. There is, however, still a requirement to improve the manner in which the technology is integrated into current approaches of care management. One of the key issues relating to this challenge is in providing solutions which can be managed by non-technically orientated healthcare professionals. Within the current work efforts have been made to develop and evaluate new tools with the ability to specify, in a non-technical manner, how the technology within the home environment should be monitored and under which conditions an alarm should be raised. The work has been conducted within the remit of a collaborative patient-carer system to support self-management for dementia. A visual interface has been developed and tested with 10 healthcare professionals. Results following a post evaluation of system usability have been presented and discussed.

  • 12.
    Jimenez, Lara Lorna
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Simon, Miguel Gomez
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Schelén, Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Åhlund, Christer
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    CoMA: Resource Monitoring of Docker Containers2015In: Proceedings of the 5th International Conference on Cloud Computing and Services Science (CLOSER 2015), SCITEPRESS Digital Library , 2015, Vol. 1, p. 145-154Conference paper (Refereed)
    Abstract [en]

    This research paper presents CoMA, a Container Monitoring Agent, that oversees resource consumption of operating system level virtualization platforms, primarily targeting container-based platforms such as Docker. The core contribution is CoMA, together with a quantitative evaluation verifying the validity of the measurements reported by the agent for three metrics: CPU, memory and block I/O. The proof-of-concept is implemented for Docker-based systems and consists of CoMA, the Ganglia Monitoring System and the Host sFlow agent. This research is in line with the rising trend of container adoption which is due to the resource efficiency and ease of deployment. These characteristics have set containers in a position to topple virtual machines as the reigning virtualization technology in data centers.

  • 13.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Simon, Miguel Gomez
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Jimenez, Lara Lorna
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Karvonen, Niklas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Analyzing Body Movements within the Laban Effort Framework using a Single Accelerometer2014In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 14, no 3, p. 5725-41Article in journal (Refereed)
    Abstract [en]

    This article presents a study on analyzing body movements by using a single accelerometer sensor. The investigated categories of body movements belong to the Laban Effort Framework: Strong - Light, Free – Bound and Sudden - Sustained. All body movements were represented by a set of activities used for data collection. The calculated accuracy of detecting the body movements was based on collecting data from a single wireless tri-axial accelerometer sensor. Ten healthy subjects collected data from three body locations (chest, wrist and thigh) simultaneously in order to analyze the locations comparatively. The data was then processed and analyzed using Machine Learning techniques. The wrist placement was found to be the best single location to record data for detecting (Strong – Light) body movements using the Random Forest classifier. The wrist placement was also the best location for classifying (Bound – Free) body movements using the SVM classifier. However, the data collected from the chest placement yielded the best results for detecting (Sudden – Sustained) body movements using the Random Forest classifier. The study shows that the choice of the accelerometer placement should depend on the targeted type of movement. In addition, the choice of the classifier when processing data should also depend on the chosen location and the target movement.

  • 14.
    Sakib, Md. Sabbir Rahman
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Quyum, Abdul
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Andersson, Karl
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Körner, Ulf
    Lund University.
    Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength2014In: IEEE ISSNIP 2014: 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings, Piscataway, NJ: IEEE Communications Society, 2014, article id 6827597Conference paper (Refereed)
    Abstract [en]

    Indoor positioning is recognized as one of the upcoming major applications which can be used in wide variety of applications such as indoor navigation and enterprise asset tracking. The significance of localization in indoor environments have made the use of Wi-Fi based indoor positioning so that it can utilize available current wireless infrastructure and perform positioning very easily. In this paper we introduced a user friendly prototype for Wi-Fi based indoor positioning system where a user can identify its own position in indoor. Wi-Fi received signal strength (RSS) fluctuations over time introduce incorrect positioning. To minimize the fluctuation of RSS, we developed Particle Filters with the prototype. A comparison between with and without Particle Filter for error performance is presented and at the same time it is also noticed that variation in number of particles could change the positioning accuracy. Moreover comparison between calibration data in all directions and in one direction while constructing a radio map is presented.

  • 15.
    Hallberg, Josef
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Casati, Fabio
    University of Trento.
    Hedman, Anders
    Kungliga tekniska högskolan, KTH.
    Plomp, Johan
    VTT Technical Research Centre of Finland, Espoo.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Mental Wellbeing for Active Healthy Ageing2014Report (Other academic)
  • 16.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Boytsov, Andrey
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Sani, Zaheer ul Hussain
    Luleå University of Technology, Department of Health Sciences.
    Jonsson, Håkan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Structuring and Presenting Lifelogs based on Location Data2014In: Pervasive Computing Paradigms for Mental Health: 4th International Symposium, MindCare 2014, Tokyo, Japan, May 8-9, 2014, Revised Selected Papers / [ed] Pietro Cipresso; Alaksandar Matic; Guillaume Lopez, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014, p. 133-144Conference paper (Refereed)
    Abstract [en]

    Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this paper the authors present an approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The system is evaluated through a user study consisting of 12 users, who used the system for 1 day and then answered a survey. The proposed approach in this paper allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.

  • 17. Rana, Juwel
    et al.
    Kristiansson, Johan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    The strength of social strength: an evaluation study of algorithmic versus user-defined ranking2014In: Proceedings of the ACM Symposium on Applied Computing, New York: ACM Digital Library, 2014, p. 658-659Conference paper (Refereed)
    Abstract [en]

    A family relation is generally considered to be stronger than a relation between coworkers in our society, but the strength of the relation is intrinsic and have been cumbersome to measure. The fact that we increasingly communicate electronically, such as through email, mobile phone calls or social media, has made it possible to automatically measure and analyze the relation between persons. This paper presents an evaluation study of social strength, where the social strength is defined as a metric that represents the tie strength of the relation between persons, calculated based on the frequency, duration, context and media type of the electronic communication between the persons. The study found that the Utility Function performs better because it emphasize the communication frequency between persons. There is however a significant difference in results between the algorithms and the user-defined ranking. This indicates the inability of the algorithms to capture intrinsic knowledge (such as the importance of family bonds and nonelectronic interaction). This would mean that the participants' ranking was colored by their interaction in real-life. It is however evident from the study that the functions provide more accurate results when they utilize multiple sources of communication history over only a single source. Finally, capturing sufficient communication data from multiple data sources is very hard, as access to such data is restricted because of concerns regarding for instance business and privacy. A conclusion is that the algorithms requires a larger data set, preferably being captured continuously over a period longer than 2 weeks, to achieve a better accuracy that is closer to the ground truth. However, the study shows the feasibility of capturing social strength automatically and we believe that the results is an important step towards systems that reason about the relation between persons in order to make communications services more pervasive.

  • 18.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Aktivitet: Lärarledamot i anställningsnämnd 1 vid LTU2013Other (Other (popular science, discussion, etc.))
    Abstract [sv]

    Lärarledamot i anställningsnämnd 1 vid LTU

  • 19.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Morshed, Sarwar
    Green University.
    End-user creation of social apps by utilizing web-based social components and visual app composition2013In: ACM SIG Proceedings, ACM Digital Library, 2013, p. 1205-1214Conference paper (Refereed)
    Abstract [en]

    This paper presents a social component framework for the SatinII App Development Environment. The environment provides a systematic way of designing, developing and deploying personalized apps and enables end-users to develop their own apps without requiring prior knowledge of programming. A wide range of social components based on the framework have been deployed in the SatinII Editor, including components that utilize aggregated social graphs to automatically create groups or recommending/filtering information. The resulting social apps are web-based and target primarily mobile clients such as smartphones. The paper also presents a classification of social components and provides an initial user-evaluation with a small group of users. Initial results indicate that social apps can be built and deployed by end-users within 17 minutes on average after 20 to 30 minutes of being introduced to the SatinII Editor.

  • 20.
    Idowu, Samuel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hagos, Desta Haileselassie
    Tesfay, Welderufael Berhane
    Famurewa, Abiola
    Rana, Juwel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    NexTrend: Context-aware music-relay corridors using NFC tags2013In: 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing: IMIS 2013, Taichung, Taiwan; 3 July 2013 - 5 July 2013, Piscataway, NJ: IEEE Computer Society Press , 2013, p. 573-578Conference paper (Refereed)
    Abstract [en]

    The rise of pervasive computing presents unique opportunities due to increasing availability of smart devices such as mobile phones and tablets equipped with various sensors enabling Near Field Communication (NFC) technologies. The growth of mobile computing has led to an increase in access to digital music. With the growth of digital music, the development of music information sharing services for users becomes important. The existing sharing methods are based on the users’ social network and preferences in music. However, sometimes, sharing music according to location and time is needed.This paper presents work on smart spaces equipped with NFC tags, deployed at different locations in hallways for discovering and sharing new music experiences. This concept provides a new way of interaction between passers-by for discovering music in relation to location. For example, the hallway locations use sensing devices to provide an automatic means of exchanging music information among the passers-by.We utilized NFC tags as Music-Relay hot spots. The hot spot retrieves information about the music a user is playing on her/his device while s/he is passing by the hot spot. The work contributes to a pervasive service that equips an environment with music context intelligence about a passer-bys choice of music and allows users to feel the musical presence of other users who have been in the same location at previous point in time. In general, this paper proposes a new music information sharing service using the music information captured from users at a specific location in time.

  • 21.
    Cleland, Ian
    et al.
    University of Ulster. School of Computing and Mathematics.
    Kikhia, Basel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nugent, Chris
    University of Ulster. School of Computing and Mathematics.
    Boytsov, Andrey
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    McClean, Sally
    Computing and Information Engineering, University of Ulster.
    Finlay, Dewar
    University of Ulster. School of Computing and Mathematics.
    Optimal Placement of Accelerometers for the Detection of Everyday Activities2013In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 13, no 7, p. 9183-9200Article in journal (Refereed)
    Abstract [en]

    This article describes an investigation to determine the optimal placement of accelerometers for the purpose of detecting a range of everyday activities. The paper investigates the effect of combining data from accelerometers placed at various bodily locations on the accuracy of activity detection. Eight healthy males participated within the study. Data were collected from six wireless tri-axial accelerometers placed at the chest, wrist, lower back, hip, thigh and foot. Activities included walking, running on a motorized treadmill, sitting, lying, standing and walking up and down stairs. The Support Vector Machine provided the most accurate detection of activities of all the machine learning algorithms investigated. Although data from all locations provided similar levels of accuracy, the hip was the best single location to record data for activity detection using a Support Vector Machine, providing small but significantly better accuracy than the other investigated locations. Increasing the number of sensing locations from one to two or more statistically increased the accuracy of classification. There was no significant difference in accuracy when using two or more sensors. It was noted, however, that the difference in activity detection using single or multiple accelerometers may be more pronounced when trying to detect finer grain activities. Future work shall therefore investigate the effects of accelerometer placement on a larger range of these activities

  • 22.
    McDonald, Heather
    et al.
    University of Ulster.
    Nugent, Chris
    University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Finlay, Dewar
    University of Ulster.
    Moore, George
    University of Ulster.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    The homeML suite: shareable datasets for smart home environments2013In: Health and Technology, ISSN 2190-7188, E-ISSN 2190-7196, Vol. 3, no 2, p. 177-193Article in journal (Refereed)
    Abstract [en]

    The lack of a standard format for storing data generated within the smart environments research domain is limiting the opportunity for researchers to compare and share datasets. The opportunity to re-use and share datasets is also being limited due to lack of an online resource available to researchers. In our current work we attempt to resolve these issues through the creation of homeML, a proposed format for storing and sharing data and the development of the homeML Suite as a means of supporting the use of homeML. Within this article the latest version of homeML, version 2.2 is presented, where the 'annotationDetails' element is introduced. An extended evaluation of the homeML Suite is also discussed. A usability and functionality study was conducted by a number of experienced researchers working within the domain of smart environments. The methodology of both studies is discussed in detail. Each participant's interactions with homeML and the suite of tools is presented, the findings of which have been positive. All participants agreed that the homeML Suite would be a useful tool to be available within the research domain and they would recommend it to their fellow researchers.

  • 23.
    Synnes, Kåre
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kranz, Matthias
    Rana, Juwel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Schelén, Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    User-Centric Social Interaction for Digital Cities2013In: Creating Personal, Social, and Urban Awareness through Pervasive Computing, IGI Global, 2013, p. 318-346Chapter in book (Refereed)
    Abstract [en]

    Pervasive Computing was envisioned by pioneers like Mark Weiser, but has yet to become an everyday technology in our society. The recent advances regarding Internet of Things, social computing and mobile access technologies however converge to make pervasive computing truly ubiquitous. The key challenge is however to make simple and robust solutions for normal users, which shifts the focus from complex platforms involving machine learning and artificial intelligence to more hands on construction of services that are tailored or personalized for individual users.This chapter therefore discusses Internet of Things together with Social Computing as a basis for components that users in a ’digital city’ could utilize to make their daily life better, safer, etc. A novel environment for user-created services, such as social apps, is presented as a possible solution for this. The vision is that anyone could make simple service based on Internet-enabled devices (Internet of Things) and encapsulated digital resources such as Open Data, which also can have social aspects embedded.This chapter also aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This work will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead of now. The purpose is to create a common outlook on the future of information and communication technologies (ICT) based on the extrapolation of current trends and ongoing research efforts.

  • 24.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Ericsson Research, Luleå.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Dynamic media distribution in ad-hoc social networks2012In: The 2nd International Conference on Social Computing and its Applications (SCA2012), 1-3 November 2012, Xiangtan, Hunan, China: Theme: Social Media, Mining and Analytics, Piscataway, NJ: IEEE Computer Society Press , 2012, p. 546-553Conference paper (Refereed)
    Abstract [en]

    This paper proposes a social distribution mechanism for finding, connecting and propagating contents in social networks using context and communication history of users together with meta information about the content. The proposed mechanism operates by propagating invitation messages to a prioritized group of users to build up an ad-hoc social network from the original social network while at the same time preventing spamming the users with unwanted invitation messages.The proposed mechanism makes it possible to implement and deploy a wide variety of services targeting the specific needs of a user. As a proof-of-concept, the paper shows how the proposed social distribution mechanism can be used to invite users to a shared space, which can contain various kinds of collaboration tools allowing a group of users to communicate and solve problems together.In order to investigate the efficiency of the proposed mechanism, the paper also presents result from a simulation study. The result shows that the social distribution mechanism should consider both social strength and context for propagating social media contents as some of the recipients may have equal interest of the social media but different level of trust about the originator.

  • 25.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Ericsson.
    Harnessing the cloud for mobile social networking applications2012In: Evolving developments in grid and cloud computing: advancing research / [ed] Emmanuel Udoh, Hershey, Pa.: Information Science Reference, 2012, Vol. 2, no 2Chapter in book (Refereed)
    Abstract [en]

    The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, etc), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, etc) to be harnessed for multiple purposes. This article presents an agent-based system architecture for semantic and semi-automated applications that utilize the cloud to enrich and simplify communication services, for instance by displaying presence information, prioritizing information, and dynamically managing groups of users. The proposed architecture is based on the concept of aggregated social graphs, which are created from harnessed information about how we communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

  • 26.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Boytsov, Andrey
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Sani, Zaheer ul Hussain
    Jonsson, Håkan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Structuring and presenting lifelogs based on location data2012Report (Other academic)
    Abstract [en]

    Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this article the authors present a novel approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The proposed approach allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.

  • 27.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Supporting ubiquitous interaction in dynamic shared spaces through automatic group formation based on social context2012In: ASE International Conference on Social Informatics, Washington D.C., USA: December 14-16, 2012, Piscataway, NJ: IEEE Computer Society Press , 2012, p. 121-130Conference paper (Refereed)
    Abstract [en]

    This paper investigates how the management of groups that communicate electronically, such as group formation, can be simplified based on users’ context and social relations. This work builds on a framework for Aggregated Social Graphs, where each node represents the relational strength to other users. The strength of a relation is calculated by utilizing information on how we communicate using mobile phone calls, emails, and social networks in combination with additional sources of information such as from calendars. A contextual group management schema is presented where contextual parameters such as tags, locations and objects are used to prune an aggregated social graph in order to automatically form a group.The schema is implemented in a runtime environment based on the Distributed Shared Memory service available at Ericsson Labs. The feasibility of the proposed schema is then studied through a prototype implementation both in a web-browser and as a mobile app. The study shows that a group can be formed automatically and that a lightweight communication session then can be initiated for that group.

  • 28.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Technical Foresight Report on Social Distribution Mechanisms2012Report (Other academic)
    Abstract [en]

    This report aims to identify trends, challenges and recommendations in regard of Social Distribution Mechanisms. This foresight will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead, or 2030! The purpose is to create a common outlook on the future of ICT and to establish a strong community across nodes and partner organizations.

  • 29.
    Synnes, Kåre
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kranz, Matthias
    Schelén, Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Rana, Juwel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Technical foresight report on social interaction for digital cities2012Report (Other academic)
    Abstract [en]

    This report aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This foresight will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead. The purpose is to create a common outlook on the future of ICT and to establish a strong community across EIT ICT Labs nodes and partner organizations.

  • 30.
    Bergvall-Kåreborn, Birgitta
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Broberg, Anders
    Umeå universitet.
    Lassinantti, Josefin
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Davoli, Lorenzo
    Umeå universitet.
    Kuenen, Stoffel
    Umeå universitet.
    Palmquist, Lena
    Umeå universitet.
    Parnes, Peter
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Ståhlbröst, Anna
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Wennberg, Paula
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    User toolkits for citizen-centric mobild service innovation2012In: eChallenges e-2012 Conference Proceedings / [ed] Paul Cunningham; Miriam Cunningham, IIMC International Information Management Corporation , 2012Conference paper (Refereed)
    Abstract [en]

    Around the world, there is an ongoing shift from en economy focusing on product development to an economy with focus on digital service development. An ongoing initiative in Europe to support this shift is the Internet of Services (IoS) which strives for a situation where everything that is needed to use a software is available as a service. The aim of this paper is to present a toolkit that non-programmers can use develop their own innovative mobile services. This environment strives to put forth a situation where technologies are made available as components that easily can be composed into a mobile services by just about anyone. This has tremendous impact on the feasibility of citizen-centric services where citizens create apps based on their current needs in their contemporary situation.

  • 31.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Utilizing ego-centric social graphs to support social actorship: social recommendations for nomadic citizens2012Report (Other academic)
  • 32.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Aktivitet: Affiliated Researcher at EIT ICT Labs2010Other (Other (popular science, discussion, etc.))
    Abstract [en]

    Affiliated Researcher at EIT ICT Labs

  • 33.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Bengtsson, Johan
    InterNIT.
    Sävenstedt, Stefan
    Luleå University of Technology, Department of Health Sciences, Nursing Care.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Building digital life stories for memory support2010In: International Journal of Computers in Healthcare, ISSN 1755-3199, Vol. 1, no 2, p. 161-176Article in journal (Refereed)
    Abstract [en]

    The number of persons suffering from dementia is increasing, and there is significant human and economic value to gain by enabling them to keep living independently in their homes. The top priority unmet need is for memory support. This paper introduces context-awareness and life-logging in a system using reminiscence therapy methods, embodied as an ICT memory aid for recording past, current and future activities, which can later be recalled. The tool may help build or maintain episodic memories and self-image, although evidence in this area is lacking. It is designed to also give direct and instrumental support in other priority needs areas. A prototype design is described for a system that is by necessity extremely easy to use, with a touch screen computer in the home and mobile devices for data capture and cognitive support. The main life-log entities associated with the logged activities are places, persons, personal items, and recorded media. Privacy, trust and dignity are key ethical issues.

  • 34.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bengtsson, Johan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Sani, Zaheer ul Hussain
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Creating digital life stories through activity recognition with image filtering2010In: Aging friendly technology for health and independence: 8th International Conference on Smart Homes and Health Telematics, ICOST 2010, Seoul, Korea, June 22-24, 2010 ; proceedings / [ed] Yeunsook Lee, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2010, p. 203-210Conference paper (Refereed)
    Abstract [en]

    This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client that recognizes activities and enables review of the captured data. The image filtering algorithm is based on image characteristics such as brightness, blurriness and similarity, and is a central component of the Logging Kit. The activity recognition algorithm is based on the captured contextual data together with concepts of persons and places. The initial results indicate that the MemoryLane system is technically feasible and that activity-based creation of digital life stories for persons with mild dementia is possible.

  • 35.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Ericsson SE.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Enriching and simplifying communication by social prioritization2010In: 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010): Odense, Denmark, 9 - 11 August 2010 / [ed] Nasrullah Memon, Piscataway, NJ: IEEE Computer Society Press , 2010, p. 336-340Conference paper (Refereed)
    Abstract [en]

    This paper presents a framework for developing applications that harness information available on social networking sites and telecom platforms to make communication simpler and richer. The framework builds an aggregated social graph by first aggregating user's contact information from multiple communication environments and then calculating the social strength between the users, based on interaction pattern and process mining techniques. The aggregated social graph describes users communication patterns which can be used to simplify and enhance communication services by inviting users for collaboration, selecting suitable tools for communication and prioritizing information flows. The framework also enables new types of applications such as social search clients, smart dialers or contact applications. In addition, the paper also presents an prototype implementation together with an evaluation comparing methods to compute social strengths based on on-line interaction datasets

  • 36.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Ericsson.
    Harnessing the cloud for mobile social networking applications2010In: International Journal of Grid and High Performance Computing, ISSN 1938-0259, Vol. 2, no 2, p. 1-11Article in journal (Refereed)
    Abstract [en]

    The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, etc), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, etc) to be harnessed for multiple purposes. This article presents an agent-based system architecture for semantic and semi-automated applications that utilize the cloud to enrich and simplify communication services, for instance by displaying presence information, prioritizing information, and dynamically managing groups of users. The proposed architecture is based on the concept of aggregated social graphs, which are created from harnessed information about how we communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

  • 37.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Ericsson Research, Luleå.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Modeling unified interaction for communication service integration2010In: The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies: UBICOMM 2010 : October 25 - 30, 2010 - Florence, Italy / [ed] Jaime Lloret Mauri, Red Hook, NY: Curran Associates, Inc., 2010, p. 373-378Conference paper (Refereed)
    Abstract [en]

    Social network inspired communication services has made a huge success, allowing users to communicate and share information in new fashion. At the same time, telecom operator's services are becoming more open, which makes it possible to develop improved social networking services and integrate them with mobile platforms. One problem that needs to be addressed when developing such services how to fetch useful social information and make it available for the services running in the cloud or in the client devices. This paper presents a generalized on-line interaction model that collects useful information from well known social networking services, and transforms the information into unified interaction patterns, which can be utilized for social data propagation or for discovering communication patterns. Ultimately, this allows the applications to incorporate social data for enabling smarter functions. For example, the data model can be useful for presenting information about callers or adding news feeds to the classical address book, prioritizing information of the contacts, inviting user for forming micro-communities. The paper also discusses the identity problem in the social media and identifies major challenges to solve that problem

  • 38. Dudarenko, Natalia
    et al.
    Rana, Juwel
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Ranking algorithm by contacts priority for social communication systems2010In: Smart Spaces and Next Generation Wired/Wireless Networking: Third Conference on Smart Spaces, ruSMART 2010, and 10th International Conference, NEW2AN 2010, St. Petersburg, Russia, August 23-25, 2010. Proceedings / [ed] Sergey Balandin; Roman Dunaytsev; Yevgeni Koucheryavy, Springer Science+Business Media B.V., 2010, p. 38-49Conference paper (Refereed)
    Abstract [en]

    The paper presents the ranking algorithm by contacts with priority application for Social Communication Services. This algorithm makes it Possible to rank contacts in Different Social Communication Services by Their priority for the user, and find a preferable communication tools for everytime contact into the social graph. It Is Proposed to Determine Priorities Of The contacts Using communication history. The ranking algorithm is based on the Markov Chain Theory and Social Strength Calculation Approach. The paper exploits the Opportunities for measuring social strength for the contacts and also "prioritizes communication tools for Simplifying communication. The results are Lindsey village an example.

  • 39.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    An architecture for mobile social networking applications2009In: 2009 First International Conference on Computational Intelligence, Modelling and Simulation, (CSSim 2009): Brno, Czech Republic, 7 - 9 September 2009 / [ed] Jiri Kunovský, Piscataway, NJ: IEEE Communications Society, 2009, p. 241-246Conference paper (Refereed)
    Abstract [en]

    Mobile semantic Web provides a new way of developing context-aware social networking applications. Social networking applications are changing the way of communication by using userpsilas context-information. For example, micro-blogging has become a smart way of conveying the current situation and activity by using user context. There is currently a significant difference between using social networking applications on a static computer compared to a mobile device, even if current mobile devices are powerful and have good connectivity. The difference is primarily related to the mobility aspect since the user contexts may change more frequently and the user may not be able to interact with the mobile device. In this paper we identify common characteristics of current social networking applications and how they attract users. Finally, we propose an agent-based system architecture that is based on a distributed platform for developing semantic and semi-automated mobile social networking applications.

  • 40.
    Rana, Juwel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kristiansson, Johan
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Challenges for mobile social networking applications2009In: Communications Infrastructure. Systems and Applications in Europe: first international ICST conference, EuropeComm 2009, London, UK, August 11-13, 2009 : revised selected papers / [ed] Rashid Mehmood, Berlin: Springer Science+Business Media B.V., 2009, p. 275-285Conference paper (Refereed)
    Abstract [en]

    This paper presents work in progress regarding utilization of social network information for mobile applications. Primarily a number of challenges are identified, such as how to mine data from multiple social networks, how to integrate and consolidate social networks, and how to manage semantic information for mobile applications. The challenges are discussed from a semantic Web perspective using a driving scenario as motivation.The main objective is to enable mobile applications to benefit from semantic information obtained from Web services, mobile devices, or the surrounding environment. The goal is therefore to create a framework that enables integration of semantic information (location, activity, interests, etc) with social network data (from Twitter, FaceBook, LinkedIn, etc) to facilitate intelligent yet easy to use communication tools for individual persons as well as groups of persons. An ultimate goal is to make complex communication simple through utilization of semantic information and social network data for pervasive services in mobile devices.

  • 41. Kikhia, Basel
    et al.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Sani, Zaheer ul Hussain
    Context-aware life-logging for persons with mild dementia2009In: 2009 annual international conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2009 ; Minneapolis, Minnesota, USA, 3 - 6 September 2009, Piscataway, NJ: IEEE Communications Society, 2009, p. 6183-6186Conference paper (Refereed)
    Abstract [en]

    The demands of introducing technology to support independent living is increasing. This is true also for persons suffering from mild dementia who may have difficulties remembering important information, such as activities, numbers, names, objects, faces, and so on. This paper presents a context-aware life-logging system, called MemoryLane, which can support independent living and improve quality of life for persons with mild dementia. The system offers both real time support as well as possibilities to rehearse and recall activities for building episodic memory. This paper also presents a mobile client to be used in MemoryLane, as well as an evaluation of the importance of different data for the purpose of memory recollection.

  • 42.
    Boytsov, Andrey
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Zaslavsky, Arkady
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Extending context spaces theory by predicting run-time context2009In: Smart Spaces and Next Generation Wired/Wireless Networking: 9th International Conference, NEW2AN 2009 and Second Conference on Smart Spaces, ruSMART 2009, St. Petersburg, Russia, September 15-18, 2009. Proceedings / [ed] Sergey Balandin; Dmitri Moltchanev; Yevgeni Koucheryavy, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2009, p. 8-21Conference paper (Refereed)
    Abstract [en]

    Context awareness and prediction are important for pervasive computing systems. The recently developed theory of context spaces addresses problems related to sensor data uncertainty and high-level situation reasoning. This paper proposes and discusses componentized context prediction algorithms and thus extends the context spaces theory. This paper focuses on two questions: how to plug-in appropriate context prediction techniques, including Markov chains, Bayesian reasoning and sequence predictors, to the context spaces theory and how to estimate the efficiency of those techniques. The paper also proposes and presents a testbed for testing a variety of context prediction methods. The results and ongoing implementation are also discussed.

  • 43.
    Hong, Xin
    et al.
    Ulster University.
    Nugent, Chris
    Ulster University.
    Finley, Dewar
    Ulster University.
    Chen, Luke
    Ulster University.
    Davies, Richard
    Ulster University.
    Wang, Haiying
    Ulster University.
    Donnelly, Mark
    Ulster University.
    Zheng, Huiru
    Ulster University.
    Mulvenna, Maurice
    Ulster University.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    OpenHome: Approaches to Constructing Sharable Datasets within Smart Homes2009In: CHI '09: Extended Abstracts on Human Factors in Computing Systems, New York: ACM Digital Library, 2009Conference paper (Refereed)
    Abstract [en]

    In this paper we present our initial efforts to develop approaches for structuring and building openly accessible, scalable, shared home behaviour datasets within smart home communities.

  • 44.
    Hallberg, Josef
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Backlund-Norberg, Mia
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nugent, Chris
    Computer Science Research Institute, University of Ulster.
    Profile management for dynamic groups2009In: Intelligent Patient Management, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2009, p. 297-313Chapter in book (Refereed)
    Abstract [en]

    There is a growing need in supporting social networking for groups who often become isolated, such as elders living at home. In a social network people with similar diseases and ailments can find each other and share information to improve their understanding of their illness. Group communication tools can help maintain a virtual social network and provide a base for information retrieval. Nevertheless, they often lack the strengths of the social networking tools and vice versa. Within this work we have developed a new concept called dynamic groups. Dynamic groups make creation, management, and usage of groups for communication and social networking easy. Nevetheless, for this to work the profile management system is required to handle more than just user information, it is required to provide users with control over their data and offer privacy and customisation capabilities. This article presents HomeCom, a model for profile management in dynamic groups. It also presents the solutions for making queries, as well as the solutions for privacy and customisation using multiple profiles and an integrated rule engine.

  • 45.
    Hallberg, Josef
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Kikhia, Basel
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bengtsson, Johan
    InterNIT.
    Sävenstedt, Stefan
    Luleå University of Technology, Department of Health Sciences, Nursing Care.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Reminiscence processes using life-log entities for persons with mild dementia2009In: Proceedings of the First International Workshop on Reminiscence Systems (RSW-2009): Cambridge, UK, 5 September, 2009, 2009, p. 16-21Conference paper (Refereed)
    Abstract [en]

    In this paper we present the reminiscence process in a prototype memory support tool for persons with mild dementia. The purpose is to promote autonomy for persons with mild dementia by supporting actualization and maintenance of episodic memories, and real-time access to a context-annotated life log.  The main research challenges are defined with a user scenario, Suitable reminiscence methods and memory entitities to reperesent life logs are described, and a preliminary architecture is presented. Finally an early design of a concrete ReviewClient is shown, to solicit feedback on the reminiscence methods, entitites chosen, architecture and the usability of the proposed interface.

  • 46.
    Nugent, Chris
    et al.
    University of Ulster.
    Hong, Xin
    University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Finlay, Dewar
    University of Ulster.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Assessing the impact of individual sensor reliability within smart living environments2008In: IEEE International Conference onAutomation Science and Engineering: CASE 2008, Piscataway, NJ: IEEE Communications Society, 2008, p. 685-690Conference paper (Refereed)
    Abstract [en]

    The potential of smart living environments to provide a form of independent living for the ageing population is becoming more recognised. These environments are comprised of sensors which are used to assess the state of the environment, some form of information management to process the sensor data and finally a suite of actuators which can be used to change the state of the environment. When providing a form of support which may impinge upon the well being of the end user it is essential that a high degree of reliability can be maintained. Within this paper we present an information management framework to process sensor based data within smart environments. Based on this framework we assess the impact of sensor reliability on the classification of activities of daily living. From this assessment we show how it is possible to identify which sensors within a given set of experiments can be considered to be the most critical and as such consider how this information may be used to propose a set of guidelines which may be adopted for managing sensor reliability from a practical point of view.

  • 47.
    Hallberg, Josef
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Backlund-Norberg, Mia
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
    Kristiansson, Johan
    Ericsson Research AB.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nugent, Chris
    University of Ulster.
    Creating dynamic groups using context-awareness2007In: Proceedings of the 6th International Conference on Mobile and Ubiquitous Multimedia: December 12 - 14, 2007, Oulu, Finland / [ed] Timo Ojala, Red Hook, NY: Curran Associates, Inc., 2007, p. 42-49Conference paper (Refereed)
    Abstract [en]

    This article presents the conceptual communication model of dynamic groups, that dynamically utilizes three traditional communication metaphors through the use of context-based information. Dynamic groups makes creation, management and usage of groups easy. It enables social network structures to be maintained in both virtual and face-to-face settings as well as in the combination thereof. This article defines the dynamic management of advanced contact lists which can include presence and status information, a/synchronous multimedia communication tools, and methods for structuring social networks. It also contains an initial evaluation and a proposed architecture for technical realisation.

  • 48.
    Nugent, Chris
    et al.
    University of Ulster.
    Davies, Richard
    University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Donnelly, Mark
    University of Ulster.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Poland, Michael
    University of Ulster.
    Wallace, Jonathan
    University of Ulster.
    Finlay, Dewar
    University of Ulster.
    Mulvenna, Maurice
    University of Ulster.
    Craig, David
    Belfast City Hospital/Queen’s University of Belfast.
    HomeCI - a visual editor for healthcare professionals in the design of home based care2007In: 2007 annual international conference of the IEEE Engineering in Medicine and Biology Society: [EMBC '07] ; Lyon, France, 22 - 26 August 2007, IEEE Communications Society, 2007, p. 2787-2790Conference paper (Refereed)
    Abstract [en]

    The demands of introducing more practical means of managing and monitoring technology within the home environment to support independent living are increasing. Within this paper we present a prototype solution referred to as HomeCI which allows healthcare professionals to establish the conditions within which technology in the home should operate. The HomeCI concept is based on the use of visual notation and has been designed for use by persons with a non technical background. Within the paper we present the design of the first version of the HomeCI visual editor and present the results of a usability study conducted on 4 healthcare professionals.

  • 49.
    Nugent, Chris
    et al.
    University of Ulster.
    Finlay, Dewar
    University of Ulster.
    Davies, Richard
    University of Ulster.
    Wang, Hui
    University of Ulster.
    Zheng, Huiru
    University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Mulvenna, Maurice
    University of Ulster.
    homeML - an open standard for the exchange of data within smart environments2007In: Pervasive Computing for Quality of Life Enhancement: 5th International Conference on Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June 21 - 23, 2007 ; proceedings / [ed] Takeshi Okadome; Tatsuya Yamazaki; Mounir Makhtari, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2007, p. 121-129Conference paper (Refereed)
    Abstract [en]

    This work describes a potential solution to the problems caused by the heterogeneous nature of the data which may be collected within smart home environments. Such information may be generated at an intra- or interinstitutional level following laboratory testing or based on in-situ evaluations. We offer a solution to this problem in the form of a system/application/format independent means of storing such data. This approach will inevitably support the exchange of data within the research community and form the basis of the establishment of an openly accessible data repository. Within this abstract we present the outline design of homeML, an XML based schema for representation of information within smart homes and through exemplars demonstrate the potential of such an approach. An example of the typical type of software browser required for the data representation is also presented.

  • 50.
    Hallberg, Josef
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Nugent, Chris D.
    IEEE.
    Davies, Richard J.
    University of Ulster. School of Computing and Mathematics.
    Synnes, Kåre
    Donnelly, Mark P.
    University of Ulster. School of Computing and Mathematics.
    Finlay, Dewar
    University of Ulster. School of Computing and Mathematics.
    Mulvenna, Maurice
    University of Ulster. School of Computing and Mathematics.
    HomeRuleML: a model for the exchange of decision support rules within smart environments2007In: IEEE International Conference on Automation Science and Engineering, 2007: CASE 2007 ; 22 - 25 Sept. 2007, Scottsdale, Arizona, Piscataway, NJ: IEEE Communications Society, 2007, p. 513-520Conference paper (Refereed)
    Abstract [en]

    The demands for smart environments, which can help to facilitate as well as monitor independent living are increasing. With this comes a desire for decision support rules to process data recorded from such environments. However, testing and evaluating rules can be both time-consuming and indeed stressful for the inhabitants. Within this paper we propose a model, referred to as HomeRuleML, for representing decision support rules for smart environments. The motivating factor behind such a proposal is to provide a widely and freely accessible set of rules which can be openly used and exchanged within the research domain and beyond. This model has the potential to decrease the time required for deployment, and inevitability improve the inhabitants' quality of life. In the paper we explain in detail the structure of adopting this approach and also provide an indication of the typical types of software tools required for its use.

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