Activity theory as a potential framework for human-computer interaction research
Context and consciousness
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Sensor-based understanding of daily life via large-scale use of common sense
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Situation recognition: representation and algorithms
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Situ: A Situation-Theoretic Approach to Context-Aware Service Evolution
IEEE Transactions on Services Computing
A Formal Definition of Situation towards Situation-Aware Computing
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
Human Activity Recognition and Pattern Discovery
IEEE Pervasive Computing
Workshop overview for the international workshop on situation, activity and goal awareness
Proceedings of the 13th international conference on Ubiquitous computing
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Activity recognition (AR) research promises to enable a multitude of human-centric applications in smart environments. Nevertheless, application developers will require assurance mechanisms before they can confidently use and apply AR in real-world pervasive systems. In this work we propose an extension of an existing AR approach in which richer recognition semantics that address confidence and assurance are provided. Our approach differentiates between an activity and its effect and subsequently relies on verifying an activity by recognizing its effect. We present our approach along with a comparative experimental evaluation.