This paper presents an on-going collaborative research project with UK based Extra Care Home provider. An innovative intelligent well-being monitoring system for extra care homes has been proposed in this paper. The novelty of this research lies in the selection of different sensors in extra care homes, how data from these sensors is used to build an intelligent well-being representation model, which can be used to monitor residents' well-being status and detect abnormality. The overall architecture of the system has been presented in the paper along with machine learning techniques, Wireless Sensing Method and system validation approach that will be used in this research.
|Publication status||Accepted/In press - 23 Apr 2017|
|Event||International Conference on Internet of Things and Machine Learning - Liverpool John Moores University, Liverpool, United Kingdom|
Duration: 17 Oct 2017 → 18 Oct 2017
https://bindscience.com/iml/ (Link to conference site)
|Conference||International Conference on Internet of Things and Machine Learning|
|Abbreviated title||IML 2017|
|Period||17/10/17 → 18/10/17|
- Intelligent care system
- extra care homes
- Machine learning
- Signal processing
- Wireless sensing system
- activities of daily living
- well-being model
Jing, Y., Eastwood, M., Tan, B., Konios, A., Hamid, A., & Collinson, M. (Accepted/In press). An Intelligent Well-being Monitoring System for Residents in Extra Care Homes. Paper presented at International Conference on Internet of Things and Machine Learning, Liverpool, United Kingdom.