Standard
A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. / Bennasar, M.; McCormick, C.; Price, B. et al.
Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences. ed. / Alfred Zimmermann; Yen-Wei Chen; Robert J. Howlett; Lakhmi C. Jain. Singapore: Springer Singapore, 2019. p. 125-135 (Smart Innovation, Systems and Technologies; Vol. 145).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Bennasar, M, McCormick, C, Price, B, Gooch, D, Stuart, A, Mehta, V, Clare, L, Bennaceur, A, Cohen, J, Bandara, A
, Levine, M & Nuseibeh, B 2019,
A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. in A Zimmermann, Y-W Chen, RJ Howlett & LC Jain (eds),
Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences. Smart Innovation, Systems and Technologies, vol. 145, Springer Singapore, Singapore, pp. 125-135.
https://doi.org/10.1007/978-981-13-8566-7_12APA
Bennasar, M., McCormick, C., Price, B., Gooch, D., Stuart, A., Mehta, V., Clare, L., Bennaceur, A., Cohen, J., Bandara, A.
, Levine, M., & Nuseibeh, B. (2019).
A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. In A. Zimmermann, Y.-W. Chen, R. J. Howlett, & L. C. Jain (Eds.),
Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences (pp. 125-135). (Smart Innovation, Systems and Technologies; Vol. 145). Springer Singapore.
https://doi.org/10.1007/978-981-13-8566-7_12Vancouver
Bennasar M, McCormick C, Price B, Gooch D, Stuart A, Mehta V et al.
A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. In Zimmermann A, Chen YW, Howlett RJ, Jain LC, editors, Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences. Singapore: Springer Singapore. 2019. p. 125-135. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-13-8566-7_12
Author
Bennasar, M. ; McCormick, C. ; Price, B. et al. /
A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time. Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences: Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences. editor / Alfred Zimmermann ; Yen-Wei Chen ; Robert J. Howlett ; Lakhmi C. Jain. Singapore : Springer Singapore, 2019. pp. 125-135 (Smart Innovation, Systems and Technologies).
Bibtex
@inproceedings{3ec5663389b946fa98a7f829708df984,
title = "A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time",
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, 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{\textquoteright}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.",
keywords = "Ambient assisted living, eHealth, Older people care, Sensor platform, Smart house, Assisted living, Intelligent buildings, Interactive computer systems, Learning systems, Multimedia services, Multimedia systems, Population statistics, Sensor networks, Activities of Daily Living, Machine learning techniques, Non-invasive sensors, Older People, System architectures, Technological solution, Network architecture",
author = "M. Bennasar and C. McCormick and B. Price and D. Gooch and A. Stuart and V. Mehta and L. Clare and A. Bennaceur and J. Cohen and A. Bandara and M. Levine and B. Nuseibeh",
year = "2019",
month = jun,
day = "6",
doi = "10.1007/978-981-13-8566-7_12",
language = "English",
isbn = "9789811385650 ",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Singapore",
pages = "125--135",
editor = "Alfred Zimmermann and Yen-Wei Chen and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences",
}
RIS
TY - GEN
T1 - A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time
AU - Bennasar, M.
AU - McCormick, C.
AU - Price, B.
AU - Gooch, D.
AU - Stuart, A.
AU - Mehta, V.
AU - Clare, L.
AU - Bennaceur, A.
AU - Cohen, J.
AU - Bandara, A.
AU - Levine, M.
AU - Nuseibeh, B.
PY - 2019/6/6
Y1 - 2019/6/6
N2 - 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.
AB - 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.
KW - Ambient assisted living
KW - eHealth
KW - Older people care
KW - Sensor platform
KW - Smart house
KW - Assisted living
KW - Intelligent buildings
KW - Interactive computer systems
KW - Learning systems
KW - Multimedia services
KW - Multimedia systems
KW - Population statistics
KW - Sensor networks
KW - Activities of Daily Living
KW - Machine learning techniques
KW - Non-invasive sensors
KW - Older People
KW - System architectures
KW - Technological solution
KW - Network architecture
U2 - 10.1007/978-981-13-8566-7_12
DO - 10.1007/978-981-13-8566-7_12
M3 - Conference contribution/Paper
SN - 9789811385650
T3 - Smart Innovation, Systems and Technologies
SP - 125
EP - 135
BT - Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences
A2 - Zimmermann, Alfred
A2 - Chen, Yen-Wei
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
PB - Springer Singapore
CY - Singapore
ER -
