计算机应用研究2012，Vol.29Issue(9)：3547-3550,4.DOI:10.3969/j.issn.1001-3695.2012.09.092
基于Kinect深度图像信息的手势轨迹识别及应用
Gesture track recognition based on Kinect depth image information and its applications
摘要
Abstract
In order to realize the gesture track recognition based on the depth image information got by the Kinect sensor, this paper presented a new method, First, it used Kinect sensor to obtain depth image information. Then it obtained the position of palm through OpenNI hand analysis module, and extracted trajectory feature. Finally, it adopted Hidden Markov model ( HMM) trained effective track sample and achieved track recognition. Experiments results show that the presented method can effectively identify the gesture track, and apply to control intelligent wheelchair.关键词
手势轨迹识别/Kinect传感器/OpenNI/隐马尔可夫模型Key words
gesture track recognition/Kinect sensor/OpenNI/HMM分类
信息技术与安全科学引用本文复制引用
张毅,张烁,罗元,徐晓东..基于Kinect深度图像信息的手势轨迹识别及应用[J].计算机应用研究,2012,29(9):3547-3550,4.基金项目
国家科技部国际合作项目(2010DFA12160) （2010DFA12160）
重庆市科技攻关资助项目(STC,2010AA2055) （STC,2010AA2055）
国家自然科学基金资助项目(51075420,60905066) （51075420,60905066）
重庆市教委科学技术研究项目(KJ100516) （KJ100516）
