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Real-Time Hand Gesture Recognition System and Application
Hsiang-Yueh Lai, Hao-Yuan Ke, and Yu-Chun Hsu
(Received October 30, 2017; Accepted January 22, 2018)
Keywords: DSP, finger skin pixel, human-computer interaction, hand gesture recognition
Human-computer interaction is a trend of technology evolution to make our life more convenient and easier. In some circumstances that hands cannot conveniently touch equipment, the hand gesture recognition system is a good solution for human-computer interaction. A real time hand gesture sensing and recognition system is proposed and its application to TV channel and volume control is examined in this study. A digital signal processor DM6437 of Texas Instruments is used for our portable hand gesture recognition system. For the real-time recognition of hand gestures, we propose a novel finger skin pixel algorithm to quickly and easily find the hand from a complex image. The region of interest is used to reduce computations. Hand features are detected in two steps. First, the thumb and pinkie are recognized on the basis of significant shape features. Second, a circle is defined from the hand center for threshold decomposition to count the number of fingers. The hand gesture recognition rate is 94.3%. The hand trace direction can be found easily using a hand gesture center point in our system. Finally, our system is applied to TV channel and volume control using hand gestures and hand tracing.
Corresponding author: Hsiang-Yueh Lai
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