A probabilistic data-driven method for human activity recognition
This paper proposes a probabilistic, time efficient, data-driven method for human low and medium level activity recognition and indoor tracking. The obtained results can be applied to a probabilistic reasoner for high level activity recognition. The proposed method is tested on Opportunity, a datase...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
IOS Press
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/85388/ https://content.iospress.com/articles/journal-of-ambient-intelligence-and-smart-environments/ais496 |
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