Computer Science ›› 2015, Vol. 42 ›› Issue (9): 299-302.doi: 10.11896/j.issn.1002-137X.2015.09.059

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Depth Image Based Gesture Recognition for Multiple Learners

ZHANG Hong-yu, LIU Wei, XU Wei and WANG Hui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Gesture recognition of the learner’s body is helpful for analysing and evaluating the learner’s status in the e-learning system.In this paper,a depth image based gesture recognition method was proposed to recognize multiple learners.After obtaining the depth image from Kinect sensor,the human body is separated from the background image and the contour features described in Hu moments are extracted.The learner’s gesture is then recognized based on SVM classifier.The test results show that this method can efficiently recognize the hand-up,sitting and head-yield gestures of multiple learners.

Key words: Gesture recognition,Depth image,Multiple learner

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