CAJ | 학술논문

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。
수착허의배경적발전，인궤교호중건반원원불능만족인문적요구，본문제출료일충기우수세식별방법적지능수입산법。해산법채용부색분할제취출수부구역，검측대무지화신출적수지수목식별출수세적함의，파각충수세조합기래실현지능수입。해산법능구사용호근거자기적습관래정의수세，경호적실현인궤교호。실험결과표명해산법대획취수세도편시적외계간우구유일정적로봉성，병능체도교고적성공솔。
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.