Research Article
Hexagram Linkage: An Ambient Assistive Living System with Healthcare for Elderly People Living Alone
@INPROCEEDINGS{10.1007/978-3-030-44751-9_29, author={Xiaohu Fan and Hao Huang and Qubo Xie and Xuejiao Pang and Changsheng Xie}, title={Hexagram Linkage: An Ambient Assistive Living System with Healthcare for Elderly People Living Alone}, proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings}, proceedings_a={IOTAAS}, year={2020}, month={6}, keywords={Ambient Assisted Living Daily activity monitoring Abnormal behaviour pattern Elderly healthcare}, doi={10.1007/978-3-030-44751-9_29} }- Xiaohu Fan
Hao Huang
Qubo Xie
Xuejiao Pang
Changsheng Xie
Year: 2020
Hexagram Linkage: An Ambient Assistive Living System with Healthcare for Elderly People Living Alone
IOTAAS
Springer
DOI: 10.1007/978-3-030-44751-9_29
Abstract
To handle the worldwide problem of aging, one of the most successful and cost-effective solutions is an ambient assisted living system. These systems integrate a collection of sensors, the Internet of Things, health management, human-computer interaction, offline medical entities and nursing services. The key technological component is a human activity recognition and anomaly detection system. We designed a platform framework that defines activity at three levels: atomic, basic and complex. Our framework process uses separate modelling with classical algorithms, so that four kinds of anomalies (point, set, scene and trend) can be detected. We implemented a real-world system and used it over two years within a scenario with nearly 200 users, thus proving the validity of the system and identifying certain deficiencies in the user’s experience. Our system has the characteristics of practicability, compatibility, cost-effectiveness and robustness.
