Temporal reasoning based on semi-intervals
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Detection Of Normal and Novel Behaviours In Ubiquitous Domestic Environments
The Computer Journal
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
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The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this paper, we introduce the idea of spatio-temporal footprints, which are local patterns in space and time that should be similar across repeated occurrences of the same behaviour. We discuss the spatial and temporal mapping requirements of these footprints, together with how they may be used.