Activity recognition and abnormality detection with the switching hidden semi-Markov model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which isan important research issue in building a pervasive and smart environment. In dealing with ADL, we argue that it is beneficial to exploit both the inherent hierarchical organization of the ac...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society Press
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/10349 |