Title :
An Event-driven Context Model in Elderly Health Monitoring
Author :
Cao, Yuanyuan ; Tao, Linmi ; Xu, Guangyou
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol. (TNList), Tsinghua Univ., Beijing, China
Abstract :
Elderly health-monitoring systems provide various proactive services according to context. Context plays an essential role in semantic understanding of human activities from sensor data. We present a novel event-driven context model for elderly health-monitoring application, which supports a distributed system with multimodal sensors. The context model is a dynamic hierarchical structure modeling human actions, activities, and environment information in home scenario. Context awareness is achieved by detecting events associated to the context hierarchy. Common knowledge ontology is employed to guide high-level context reasoning. Experiments of this method in elderly health monitoring show the effectiveness of the proposed context model.
Keywords :
geriatrics; health care; ontologies (artificial intelligence); ubiquitous computing; context awareness; distributed system; dynamic hierarchical structure; elderly health monitoring systems; event-driven context model; high-level context reasoning; human activities; knowledge ontology; multimodal sensors; proactive services; semantic understanding; Aging; Biomedical monitoring; Context awareness; Context modeling; Context-aware services; Humans; Medical services; Multimodal sensors; Senior citizens; Wearable sensors; context aware; context model; eldery monitoring;
Conference_Titel :
Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-4902-6
Electronic_ISBN :
978-0-7695-3737-5
DOI :
10.1109/UIC-ATC.2009.47
