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论文类型：期刊论文

发表时间：2015-01-01

发表刊物：Journal of Fiber Bioengineering and Informatics

收录刊物：Scopus、EI

卷号：8

期号：2

页面范围：337-345

ISSN号：19408676

摘要：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. ? 2015 Binary Information Press & Textile Bioengineering and Informatics Society.