STRETCH: a Sensor Platform for Non-Invasive Remote Monitoring of Older People in Real Time
Bennasar, M; McCormick, C; Price, B; et al.Gooch, D; Stuart, A; Mehta, V; Clare, L; Bennaceur, A; Cohen, J; Bandara, A; Levine, M; Nuseibeh, B
Date: 6 June 2019
Publisher
Springer Nature
Publisher DOI
Related links
Abstract
The population of older adults is increasing across the globe; this
growth is predicted to continue into the future. Most older adults prefer to live
in their own home, but many live alone without immediate support. Living
longer is often coupled with health and social problems and difficulty managing
daily activities. Therefore, ...
The population of older adults is increasing across the globe; this
growth is predicted to continue into the future. Most older adults prefer to live
in their own home, but many live alone without immediate support. Living
longer is often coupled with health and social problems and difficulty managing
daily activities. Therefore, some level of care is required, but this is costly.
Technological solutions may help to mitigate these problems by recognising
subtle changes early and intervening before problems become unmanageable.
Understanding a person’s usual behaviour when carrying out Activities of Daily
Living (ADL) makes it possible to detect and respond to anomalies. However,
current commercial and research monitoring systems do not offer an analysis of
ADL and are unable to detect subtle changes. To address this gap, we propose
the STRETCH (Socio-Technical Resilience for Enhancing Targeted Community Healthcare) sensor platform that is comprised of non-invasive sensors and
machine learning techniques to recognise changes and allow early interventions. The paper discusses design principles, modalities, system architecture,
and sensor network architecture.
Psychology - old structure
Collections of Former Colleges
Item views 0
Full item downloads 0