基于视觉的多用户手势识别人机交互技术研究

Research on Vision-Based Multi-user Gesture Recognition Human-Computer Interaction

提出了一种基于视觉手势识别的多用户输入技术,利用双手手指在显示屏幕上进行点击和拖拉完成人机交互功能。该方法使用三个摄像机从不同角度实时拍摄显示屏幕表面的图像,运用图像处理技术分析识别手势在图像中的位置,根据三副图像中的手势位置和摄像机参数计算双手手势输入的实际位置。通过手势识别训练和冗余数据平均计算等方法提高了系统的识别率和鲁棒性。实验表明,该系统具有较强的可用性和适用性。

This paper presents a vision-based multi-user gesture recognition Human-Computer Interaction which achieves natural interactions through clicking and moving the fingers on the computer screen.Using three cameras to capture video images of computer screen,and recognize the fingers using image processing.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.