A reasoning framework for ambient intelligence
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
A responsive home environment for the elderly
Proceedings of the 6th International Conference on Rehabilitation Engineering & Assistive Technology
Combining multiple sensors for event recognition of older people
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
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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.