A hand posture recognition system utilizing frequency difference of infrared light
作者： Soonchan Park , Moonwook Ryu , Ju Yong Chang , Jiyoung Park
关键词: Infrared 、 Support vector machine 、 Gesture 、 Depth map 、 Artificial intelligence 、 Frequency difference 、 Computer science 、 Histogram of oriented gradients 、 Interference (wave propagation) 、 Computer vision 、 Posture recognition
摘要: Hand gesture is one of the most effective methods to perform interactions between humans and also computers. However, currently existing depth cameras do not provide sufficient resolution precision for effectively recognizing hand postures in distance (>2 meters). Existing researches tried solve limitation by using a combination information color information. they all could have stable performance, because naturally affected visible light condition. In this paper, we introduce hardware system an algorithm recognize distant user while guaranteeing its performance even dark. Specifically, utilizing infrared(IR) lights their frequency difference, our simultaneously gathers map from Kinect high IR image scene additional camera without any interference. The analyzes histogram oriented gradients support vector machine. addition, recognition has technique compensate errors position estimation unavoidable detection algorithms. As result, experiment on real-time data, proposed classifies seven different with average rate 92.17% maintained dark (
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