Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 568-571.doi: 10.11896/j.issn.1002-137X.2016.11A.128

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Application and Research on Gesture Recognition by Kinect Sensors

YU Ze-sheng, CUI Wen-hua and SHI Tian-wei   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to solve the problems of complex operations in the current smart home system and acquire a simple control method and increase feeling experience for users,the gesture recognition methods based on Kinect were researched and integrated into the human-computer interaction (HCI) system in smart home.In this system,users can customize the gestures to realize the intelligent control of household equipment.The utilized template matching gesture recognition method is accomplished based on the dynamic time warping (DTW) algorithm.It employs the Kinect depth camera to obtain the skeleton depth images and gestures.The results of actual gesture recognition experiments show that the gesture recognition based on DTW algorithm is feasible and effective.The best identification distance is in range of 2-2.5 m in front of Kinect and the highest recognition accuracy can reach 96%.

Key words: Kinect,Gesture recognition,Weighted DTW algorithm,Smart home

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