Research on vision-based multi-user gesture recognition Human-Computer Interaction

Guofeng Zhang, Dongming Zhang
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引用次数: 5

Abstract

Human-computer interaction must follow the natural interaction principle of dasiaPeople-orientedpsila. People prefer to do most of the interactions with hands in the daily life. This paper presents a vision-based multi-user gesture recognition human-computer interaction technology which achieves natural interactions through clicking and moving the fingers on the computer screen. The method uses three cameras to capture video images of computer screen, and recognizes the fingers using image processing technique. The input positions are detected with the obtained fingertip positions and cameras parameters. A training process of gesture recognition and an average arithmetic of redundant data are introduced to improve the accuracy and robustness of system. Experimental results demonstrate the usability and adaptability of system.
基于视觉的多用户手势识别人机交互研究
人机交互必须遵循以人为本的自然交互原则。在日常生活中,人们更喜欢用手来做大部分的互动。本文提出了一种基于视觉的多用户手势识别人机交互技术,该技术通过手指在计算机屏幕上的点击和移动来实现自然交互。该方法利用三个摄像头采集计算机屏幕上的视频图像,利用图像处理技术对手指进行识别。使用获得的指尖位置和相机参数检测输入位置。为了提高系统的准确性和鲁棒性,引入了手势识别的训练过程和冗余数据的平均算法。实验结果证明了系统的可用性和适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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