HUMAN BODY POSTURE RECOGNITION USING A KINECT SENSOR

Catalina Mocanu () and Irina Mocanu ()
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Catalina Mocanu: Ixia
Irina Mocanu: University POLITEHNICA of Bucharest

Journal of Information Systems & Operations Management, 2015, vol. 9, issue 2, 325-340

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2015:i:2:p:325-340

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