Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model

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Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model

The ability to learn and recognize human activities of daily living (ADLs) is important in building pervasive and smart environments. In this paper, we tackle this problem using the hidden semi-Markov model. We discuss the state-of-the-art duration modeling choices and then address a large class of...

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Bibliographic Details
Main Authors:	Duong, Thi, Phung, Dinh, Bui, H.H., Venkatesh, Svetha
Other Authors:	Y.Y. Tang
Format:	Conference Paper
Published:	IEEE Coputer Society Conference Publishing Services 2006
Online Access:	http://hdl.handle.net/20.500.11937/46984

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