Detecting Human Behavior Models From Multimodal Observation in a Smart Home

  title={Detecting Human Behavior Models From Multimodal Observation in a Smart Home},
  author={Oliver Brdiczka and Matthieu Langet and J{\'e}r{\^o}me Maisonnasse and James L. Crowley},
  journal={IEEE Transactions on Automation Science and Engineering},
This paper addresses learning and recognition of human behavior models from multimodal observation in a smart home environment. The proposed approach is part of a framework for acquiring a high-level contextual model for human behavior in an augmented environment. A 3-D video tracking system creates and tracks entities (persons) in the scene. Further, a speech activity detector analyzes audio streams coming from head set microphones and determines for each entity, whether the entity speaks or… CONTINUE READING
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A visual service for distributed environments: A Bayesian 3D person tracker

  • A. Biosca-Ferrer, A. Lux
  • INRIA, Tech. Rep., 2007.
  • 2007
1 Excerpt

O3miscid : An object oriented opensource middleware for service connection, introspection and discovery

  • R. Emonet, D. Vaufreydaz, P. Reignier, J. Letessier
  • Proc. 1st IEEE Int. Workshop on Services…
  • 2006
1 Excerpt

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