Detecting Human Behavior Models From Multimodal Observation in a Smart Home

@article{Brdiczka2009DetectingHB,
  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},
  year={2009},
  volume={6},
  pages={588-597}
}
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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