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.
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.
出处
《汕头大学学报（自然科学版）》
2014年第3期60-65,共6页
Journal of Shantou University：Natural Science Edition
基金
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)
关键词
手势识别
智能输入
肤色分割
人机交互
gesture recognition
intelligent input
skin color segmentation
human-computer interaction
