Toward a decision-theoretic framework for affect recognition and user assistance
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Understanding human intentions via hidden markov models in autonomous mobile robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Specification, decomposition and agent synthesis for situation-aware service-based systems
Journal of Systems and Software
Sharing of Real-Life Experimental Data in Smart Home and Data Analysis Tool Development
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Dynamic threshold determination for stable behavior detection
WSEAS Transactions on Computers
Human-Intention Driven Self Adaptive Software Evolvability in Distributed Service Environments
FTDCS '08 Proceedings of the 2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems
ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
Hi-index | 0.00 |
Smart home environments often need personalized requirements based on existing service products. Requirements under the environment may change at any time, even while services are correctly provided, since both caregivers and residents eventually diversify their intentions. In this paper, a situation-theoretic framework to infer human intentions is presented through a smart-home demonstration aimed at supporting independent living of elderly people. By analyzing experimental sensor data collected from a real-life smart home, differences and similarities between three detected intentions were intensely discussed.