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Experiences and challenges of providing IoT-based care for elderly in real-life smart home environments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8561-7963
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-8681-9572
Luleå University of Technology, Department of Health Sciences, Health, Medicine and Rehabilitation.ORCID iD: 0000-0003-3619-2297
2020 (English)In: Handbook of Integration of Cloud Computing, Cyber-Physical Systems and Internet of Things / [ed] Rajiv Ranjan; Karan Mitra; Prem Prakash Jayaraman; Lizhe Wang; Albert Y. Zomaya, Cham: Springer, 2020, 1, p. 255-271Chapter in book (Refereed)
Abstract [en]

Elderly population across the world is on the rise and municipalities along with caregivers are struggling to provide care due to limited resources. Sweden’s elderly population is set to grow significantly by 2050 where the number of people between 65–79 years and 80 years and over is expected to increase by 45% and 87% respectively. The same trend continues within Europe where 25% of the population will be over 65 years of age by the year 2020, and the age group of 65–80 years is predicted to rise by 40% from the year 2010 to 2030. The rise in elderly population has increased the stress on municipalities and caregivers; and has created the need for new healthcare solutions that are feasible, affordable and easily accessible to all. Smart homes equipped with sensors have already made life easier for those living in them for many decades now by providing home automation solutions. We are also witnessing an increase in the use of Information Communication Technologies (ICT) to assist elderly population and decrease in operational costs. ICT systems in assisting elderly population have an immense potential for providing in-home care to the elderly. The advent of the Internet of Things (IoT) with low-cost and prolific sensors has furthered this trend of home automation and monitoring solutions being used for elderly healthcare. Alongside, the field of ambient assisted homes has continuously paved the way for providing an improved quality of life for those in need such as patients with dementia or chronic conditions as well as elderly living alone at home.

Place, publisher, year, edition, pages
Cham: Springer, 2020, 1. p. 255-271
Series
Scalable Computing and Communications, ISSN 2520-8632, E-ISSN 2364-9496
Keywords [en]
IoT, Internet of Things, anomaly detection, healthcare
National Category
Computer Sciences Other Health Sciences
Research subject
Pervasive Mobile Computing; Physiotherapy
Identifiers
URN: urn:nbn:se:ltu:diva-83577DOI: 10.1007/978-3-030-43795-4_11OAI: oai:DiVA.org:ltu-83577DiVA, id: diva2:1543265
Note

ISBN för värdpublikation: 978-3-030-43794-7, 978-3-030-43795-4

Available from: 2021-04-10 Created: 2021-04-10 Last updated: 2024-03-27Bibliographically approved

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Saguna, SagunaÅhlund, ChristerLarsson, Agneta

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