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H2Al - The Human Health and Activity Laboratory
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. (Distribuerade datorsystem)ORCID iD: 0000-0003-4549-6751
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.ORCID iD: 0000-0003-1026-5419
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.
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2018 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
MDPI, 2018. Vol. 2, article id 1241
National Category
Computer and Information Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-72988DOI: 10.3390/proceedings2191241OAI: oai:DiVA.org:ltu-72988DiVA, id: diva2:1290940
Conference
International Conference on Ubiquitous Computing and Ambient ‪Intelligence
Projects
REMIND
Funder
The Kempe FoundationsAvailable from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-09-06

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Publisher's full texthttp://www.mdpi.com/2504-3900/2/19/1241

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Synnes, KåreLilja, MargaretaNyman, AnneliHallberg, JosefKarvonen, Niklas

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