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PERCOM
2003
ACM

Recognition of Human Activity through Hierarchical Stochastic Learning

10 years 5 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring support. We propose a novel approach to learning the hierarchical structure of sequences of human actions through the application of the hierarchical hidden Markov model (HHMM). Experimental results are presented for learning and recognising sequences of typical activities in a home.
Sebastian Lühr, Hung Hai Bui, Svetha Venkates
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where PERCOM
Authors Sebastian Lühr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
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