Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
1-2017
Abstract
Ageing-in-place, the ability to age holistically in the community, is increasingly gaining recognition as a solution to address resource limitations in the elderly care sector. Effective elderly care models require a personalised and all-encompassing approach to caregiving. In this regard, sensor technologies have gained attention as an effective means to monitor the wellbeing of elderly living alone. In this study, we seek to investigate the potential of non-intrusive sensor systems to detect socially isolated community dwelling elderly. Using a mixed method approach, our results showed that sensor-derived features such as going-out behavior, daytime napping and time spent in the living room are associated with different social isolation dimensions. The average time spent outside home is associated with the social loneliness level, social network score and the overall social isolation level of the elderly and the time spent in the living room is positively associated with the emotional loneliness level. Further, elderly who perceived themselves as socially lonely tend to take more naps during the day time. The findings of this study provide implications on how a non-intrusive sensor-based monitoring system comprising of motion-sensors and a door contact sensor can be utilized to detect elderly who are at risk of social isolation
Keywords
Ageing-in-place, Social isolation, Non-intrusive sensors
Discipline
Community-Based Learning | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
International Conference on Human Aspects of IT for the Aged Population: Third International Conference, ITAP 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II
Identifier
10.1007/978-3-319-58536-9_30
Publisher
World Scientific
City or Country
Vancouver, BC, Canada,
Citation
GOONAWARDENE, W K P Neranjana Nadee Rodrigo; TOH, Xiaoping; and TAN, Hwee-Pink.
Sensor-driven detection of social isolation in community-dwelling elderly. (2017). International Conference on Human Aspects of IT for the Aged Population: Third International Conference, ITAP 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II.
Available at: https://ink.library.smu.edu.sg/sis_research/3731
Copyright Owner and License
Springer Verlag
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org./10.1007/978-3-319-58536-9_30