Probabilistic Human Activity Understanding Exploring Relationship Between Human Body Motion and the Environmental Context

نویسندگان

  • Kamrad Khoshhal
  • Jorge Dias
چکیده

This paper presents an approach to model human activities based on relationship characteristics of body part motions and environment. Between human body motions properties and environment in each human activities are several relations that were less explored in the related works. To study human motion properties, Laban Movement Analysis (LMA), a known human motion descriptor was used. This work focused on Relationship component of the LMA to analyse human activities related to the environment. Bayesian network is a proper approach for the mentioned goal, in order to be able to predict and also deal with uncertainty. To present the idea, the model was performed to estimate some human movements and activities related to an object like a robot. The results present the capability of the model to analyse any human activities related to environment using the LMA framework.

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تاریخ انتشار 2011