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Human Body Posture Recognition Using A Kinect Sensor

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  • Catalina Mocanu

    (Ixia)

  • Irina Mocanu

    (University POLITEHNICA of Bucharest)

Abstract

This paper presents a new hierarchical approach used for human body posture recognition based on histograms of angles and voting schemes. Our approach uses the 3D skeleton information from a Kinect sensor to compute features for classification that are represented by the angles between different body parts. The posture recognition is performed in two steps: first the major posture is obtained (defined by the lower limbs' position) using a two voting scheme process and after that the minor posture is computed (defined by the upper limbs' position) that is performed using a weighted sum of the votes from the involved features.

Suggested Citation

  • Catalina Mocanu & Irina Mocanu, 2015. "Human Body Posture Recognition Using A Kinect Sensor," Romanian Economic Business Review, Romanian-American University, vol. 9(2), pages 325-340, December.
    • Handle: RePEc:rau:journl:v:10:y:2015:i:2:p:325-340
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI15/JISOM-WI15-A07.pdf
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