%0 Journal Article %T 面向移动WEB的微手势识别技术及系统实现
The Implementation of the Micro-Gesture Recognition on the Mobile Web %A 张美玉 %A 陈嘉诚 %A 张伟 %A 简琤峰 %J Hans Journal of Data Mining %P 81-89 %@ 2163-1468 %D 2016 %I Hans Publishing %R 10.12677/HJDM.2016.61010 %X
针对面向移动终端的微手势识别需求,本文介绍了一种基于HTML5、Javascript和webRTC框架的移动web端的微手势识别系统。系统通过移动终端摄像头获取视频信息,并从视频中提取人手,再将手分为手掌域和手指域。其中手掌域用于定位手部位置,手指域通过肤色提取、区域分割、轮廓提取等操作提取手势中的手指信息。通过与手势预定义进行解析对比,从而响应相应的操作行为。
For the requirement of Micro-gesture recognition on mobile terminal, this paper introduces a Micro- gesture recognition system based on HTML5, Javascript and webRTC. It obtains video through the web camera, then extracts the hand from the video, and divides the hand into palm and fingers. The position of palm would indicate the location of whole hand, while the fingers would indicate the information of gesture after skin color extraction, region segmentation and contour extraction. Compared with the predefined command, the system would work according to the current com-mand as the gesture.
%K 移动WEB,webRTC,微手势识别
Web Client %K webRTC %K Micro-Gesture Recognition %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=16872