2D Human Gesture Tracking and Recognition by the Fusion of MEMS Inertial and Vision Sensors

2014 ◽  
Vol 14 (4) ◽  
pp. 1160-1170 ◽  
Author(s):  
Shengli Zhou ◽  
Fei Fei ◽  
Guanglie Zhang ◽  
John D. Mai ◽  
Yunhui Liu ◽  
...  
2014 ◽  
Vol 511-512 ◽  
pp. 541-544
Author(s):  
Yan Xi Zhang ◽  
Yong Jian Liang ◽  
Dao Wen Wu ◽  
Qiang Wen ◽  
Heng Yuan Yang

With the rapid development of economy and society, the demand for the man-machine interactive experience is in high enhancement. Hand gesture tracking and recognition is a key technology. This paper studies the obtaining and following about dynamic hand gesture based on Kinect, which is under complex background. Not only has important theoretical significance and tracking, but also it has a broad application prospect. This paper first introduces the human skeleton tracking technology which was based on Kinect. The gesture movement orbit was acquired by tracking the hand gesture and separating the gesture from the complex background so as to lay the foundation for gesture recognition. Software was developed which can recognize human action language, control the game to respond, achieve human-computer interaction more friendly and make the game more fun by the beforehand action.


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