TY - JOUR T1 - Hardware Based High Efficient Recognition of 3D Hand Gestures JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 337 EP - 345 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00106 UR - https://global-sci.org/intro/article_detail/jfbi/4714.html KW - Gesture Recognition KW - Human Computer Interaction KW - Leap-motion KW - CM1K AB - This paper addresses the technical issues related to hand gestures generation and their real-time 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.