Human Body Posture Recognition Using A Kinect Sensor
Catalina Mocanu, Irina Georgiana Mocanu · RePEc: Research Papers in Economics · 2015
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.