Efficient duration and hierarchical modeling for human activity recognition
A challenge in building pervasive and smart spaces is to learn and recognize human activities of daily living (ADLs). In this paper, we address this problem and argue that in dealing with ADLs, it is beneficial to exploit both their typical duration patterns and inherent hierarchical structures. We...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Science publishers ltd.
2009
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| Subjects: | |
| Online Access: | http://www.elsevier.com/locate/artint http://hdl.handle.net/20.500.11937/17870 |