Gesture recognition based on Kinect
Yunda Liu, Min Dong, Sheng Bi, Dakui Gao, Yuan Wei Jing, Lan Li · 2016
With the rapid development of computer science, gesture recognition has been a highlight of research in the area of Human Computer Interaction (HCI). Generally speaking, gesture recognition can be divided into two types: static gesture recognition and dynamic gesture recognition. Under the background of the aging population, how to use the method of gesture recognition to help the elderly adapt to “Intelligent Age” is a meaningful issue, which deserves more attention. This paper describes a gesture recognition method based on Kinect, a 3D somatosensory camera sensor. This method involves skeleton tracking, where the skeleton data is produced from the depth images obtained via Kinect. Extensive experiments demonstrate the superior performance of the proposed methods over Kinect.