本文已被:浏览 2107次 下载 4477次
Received:December 09, 2013 Revised:January 07, 2014
Received:December 09, 2013 Revised:January 07, 2014
中文摘要: 体感技术使人们更直接的通过自己的肢体动作与电脑设备产生互动,减小了鼠标、键盘等传统输入设备带来的束缚.使用Kinect体感设备,对体感关键技术及Kalman滤波器算法进行了深入的研究,并在此基础上提出了一种基于骨骼坐标的手势识别算法.最后详细阐明了基于Kinect的手势追踪与识别系统的具体设计与实现方法.
Abstract:Motion Sensing Technology makes people interact with computer more directly and reduces the constraints of mouse and keyboard. This paper studies the key technology of Motion Sensing Technology and Kalman filtering algorithm deeply. At the same time it presents a gesture recognization algorithm based on skeleton coordinates. At last this paper expounds the design and implementation of Gesture Tracking and Recognization System based on Kinect.
文章编号: 中图分类号: 文献标志码:
基金项目:
引用文本:
朱明茗,景红.基于体感技术的手势追踪与识别.计算机系统应用,2014,23(8):228-232
ZHU Ming-Ming,JING Hong.Gesture Tracking and Recognization Based on Motion Sensing Technology.COMPUTER SYSTEMS APPLICATIONS,2014,23(8):228-232
朱明茗,景红.基于体感技术的手势追踪与识别.计算机系统应用,2014,23(8):228-232
ZHU Ming-Ming,JING Hong.Gesture Tracking and Recognization Based on Motion Sensing Technology.COMPUTER SYSTEMS APPLICATIONS,2014,23(8):228-232