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| Hardware Based High Efficient Recognition of 3D Hand Gestures |
| Yi Liang, Liang Zhuo, Ning Chen, Cheng Cheng, Ruizhi Li, Xinyan Gao |
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Abstract This paper addresses the technical issues related to hand gestures
generation and their real-time\linebreak recognition. The arbitrary
3D gestures are generated by the Leap-motion Controller which
detects and tracks the hands and fingers to acquire position and
motion information. We combine Leap-motion sensor and hardware
based pattern engine to make gesture recognition easier and propose
an efficient recognition solution involving a neuron chip (named
CM1K). In our experiment, we used one-finger gesture cases to
demonstrate the efficiency of our solution. Experimental results
showed that our solution owns a high accuracy in gesture data
acquiring and only costs a few milliseconds in recognizing speed. We
also considered the situation of similar gestures recognition and
analyzed the causes of low matching rate from specific data.
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| Cite this article: |
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Yi Liang,Liang Zhuo,Ning Chen, et al. Hardware Based High Efficient Recognition of 3D Hand Gestures[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(2): 337-345.
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2015, Vol. 8 
