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基于手势识别的智能输入系统
引用本文:李芬兰,张文清,庄哲民. 基于手势识别的智能输入系统[J]. 汕头大学学报(自然科学版), 2014, 0(3): 60-65
作者姓名:李芬兰  张文清  庄哲民
作者单位:汕头大学工学院电子系,广东汕头515063
基金项目:国家自然科学基金资助项目(61070152);汕头大学科研基金资助项目(NTF10011)
摘    要:随着虚拟环境的发展,人机交互中键盘远远不能满足人们的要求,本文提出了一种基于手势识别方法的智能输入算法.该算法采用肤色分割提取出手部区域,检测大拇指和伸出的手指数目识别出手势的含义,把各种手势组合起来实现智能输入.该算法能够使用户根据自己的习惯来定义手势,更好的实现人机交互.实验结果表明该算法对获取手势图片时的外界干扰具有一定的鲁棒性,并能达到较高的成功率.

关 键 词:手势识别  智能输入  肤色分割  人机交互

Intelligent Input System with Gesture Recognition
LI Fenlan,ZHANG Wenqing,ZHUANG Zhemin. Intelligent Input System with Gesture Recognition[J]. Journal of Shantou University(Natural Science Edition), 2014, 0(3): 60-65
Authors:LI Fenlan  ZHANG Wenqing  ZHUANG Zhemin
Affiliation:(Department of Electronic Engineering, Shantou University, Shantou 515063, Guangdong, China)
Abstract:With the development of virtual environments,keyboards cannot satisfy all the requirements of people in the human-computer interaction. In this paper, a method of intelligent input based on gesture recognition algorithm is proposed. In the algorithm, the hand region is extracted by using skin color segmentation. From the thumb and the number of fingers stretched out, the meaning of the gesture is identified. The mutual combination of gestures can be used for intelligent input. In addition, users can define gestures according to their own habits. Experimental results show that the algorithm has certain robustness against interferences in gesture images and can achieve a high recognition rate.
Keywords:gesture recognition  intelligent input  skin color segmentation  human-computer interaction
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