Real-time Motion-based Hand Gestures Recognition from Time-of-Flight Video

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• 作者：Javier Molina ; José Antonio Pajuelo…
• 关键词：Computer vision ; Human ; computer interaction ; Hand gesture recognition
• 刊名：Journal of Signal Processing Systems
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：86
• 期：1
• 页码：17-25
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing; Circuits and Systems; Electrical Engineering; Image Processing and Computer Vision; Pattern Recognition; Computer Imaging, Vision, Pattern Recognition and Graphics;
• 出版者：Springer US
• ISSN：1939-8115
• 卷排序：86

文摘

This paper presents an innovative solution based on Time-Of-Flight (TOF) video technology to motion patterns detection for real-time dynamic hand gesture recognition. The resulting system is able to detect motion-based hand gestures getting as input depth images. The recognizable motion patterns are modeled on the basis of the human arm anatomy and its degrees of freedom, generating a collection of synthetic motion patterns that is compared with the captured input patterns in order to finally classify the input gesture. For the evaluation of our system a significant collection of gestures has been compiled, getting results for 3D pattern classification as well as a comparison with the results using only 2D information.