Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2018
Abstract
Sensor technologies have gained attention as an effective means to monitor physical and mental wellbeing of elderly. In this study, we examined the possibility of using passive in-home sensors to detect frailty in older adults based on their day-to-day in-home living pattern. The sensor-based elderly monitoring system consists of PIR motion sensors and a door contact sensor attached to the main door. A set of pre-defined features associated with elderly’s day-to-day living patterns were derived based on sensor data of 46 elderly gathered over two different time periods. A series of feature vectors depicting different behavioral aspects were derived to train and test three machine learning algorithms; Logistic Regression, Linear Discriminant Analysis and Naïve Bayes. The best prediction scores yielded by seven features, namely, daytime napping, time in the bedroom, night-time sleep, kitchen activity level, kitchen use duration, in-home transitions and away duration. These features produced an area under the ROC curve of 98%, 79% and 93%, for Logistic Regression, Linear Discriminant Analysis and Naïve Bayes algorithms respectively. The findings of this study provide implications on how a non-intrusive sensor-based monitoring system comprised of a minimum set of sensors coupled with predictive analytics can be used to detect frail elderly.
Keywords
Ageing-in-place, Frailty detection, Non-intrusive in-home sensors
Discipline
Gerontology | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
ITAP 2018: Proceedings of 4th International Conference on Human Aspects of IT for the Aged Population, Las Vegas, July 15-20
Volume
10927
First Page
290
Last Page
302
ISBN
9783319920375
Identifier
10.1007/978-3-319-92037-5_22
Publisher
Springer
City or Country
Cham
Citation
GOONAWARDENE, Nadee; TAN, Hwee-Pink; and TAN, Lee Buay.
Unobtrusive detection of frailty in older adults. (2018). ITAP 2018: Proceedings of 4th International Conference on Human Aspects of IT for the Aged Population, Las Vegas, July 15-20. 10927, 290-302.
Available at: https://ink.library.smu.edu.sg/sis_research/4097
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-319-92037-5_22