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...
Main Authors: | Foudeh, Pouyaa, Khorshidtalab, Aidab, Salim, Naomie |
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Format: | Article |
Published: |
IOS Press
2018
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Subjects: |
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