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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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书目详细资料
Main Authors:	Foudeh, Pouyaa, Khorshidtalab, Aidab, Salim, Naomie
格式:	Article
出版:	IOS Press 2018
主题:	QA75 Electronic computers. Computer science
在线阅读:	http://eprints.utm.my/id/eprint/85388/ https://content.iospress.com/articles/journal-of-ambient-intelligence-and-smart-environments/ais496
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