Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Camera Human Activity Monitoring
Journal of Intelligent and Robotic Systems
Activity Recognition for the Smart Hospital
IEEE Intelligent Systems
Solving POMDPs with continuous or large discrete observation spaces
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning situation models in a smart home
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
A survey of context modelling and reasoning techniques
Pervasive and Mobile Computing
Semantic data management for situation-aware assistance in ambient assisted living
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
A top-level ontology for smart environments
Pervasive and Mobile Computing
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
IEEE Transactions on Knowledge and Data Engineering
The computer for the 21st Century
IEEE Pervasive Computing
Activity classification using realistic data from wearable sensors
IEEE Transactions on Information Technology in Biomedicine
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
Pervasive and Mobile Computing
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This paper introduces an ontology-based integrated framework for activity modeling, activity recognition and activity model evolution. Central to the framework is ontological activity modeling and semantic-based activity recognition, which is supported by an iterative process that incrementally improves the completeness and accuracy of activity models. In addition, the paper presents a service-oriented architecture for the realization of the proposed framework which can provide activity context-aware services in a scalable distributed manner. The paper further describes and discusses the implementation and testing experience of the framework and services in the context of smart home based assistive living.