Recognition of human activity through hierarchical stochastic learning

@article{Lhr2003RecognitionOH,
  title={Recognition of human activity through hierarchical stochastic learning},
  author={Sebastian L{\"u}hr and Hung Hai Bui and Svetha Venkatesh and Geoff A. W. West},
  journal={Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).},
  year={2003},
  pages={416-422}
}
  • Sebastian Lühr, H. Bui, G. West
  • Published 23 March 2003
  • Computer Science
  • Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).
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. 

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