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| 基于Kinect深度图像信息的手势轨迹识别及应用 | |
| 引用本文： | 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. |
| 作者姓名： | 张 毅 张 烁 罗 元 徐晓东 |
| 作者单位： | 1. 重庆邮电大学 自动化学院,重庆,400065 2. 重庆邮电大学 光电工程学院,重庆,400065 3. 电子科技大学 自动化学院,成都,611731 |
| 基金项目： | 国家科技部国际合作项目（2010DFA12160）; 重庆市科技攻关资助项目（STC, 2010AA2055）; 国家自然科学基金资助项目（51075420, 60905066）; 重庆市教委科学技术研究项目（KJ100516） |
| 摘 要： | 为实现基于Kinect深度图像信息的手势轨迹识别,提出了一种基于隐马尔可夫模型(HMM)的手势轨迹识别的方法。首先采用新型Kinect传感器获取图像深度信息;然后通过OpenNI的手部分析模块获得手心的位置,提取轨迹特征;最后利用隐马尔可夫模型训练有效的轨迹样本并实现轨迹的识别。实验结果证明,该方法能有效地识别手势轨迹,并可用于控制智能轮椅的运动。 |
| 关 键 词： | 手势轨迹识别 Kinect传感器 OpenNI 隐马尔可夫模型 |
Gesture track recognition based on Kinect depthimage information and its applications |
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| ZHANG Yi,ZHANG Shuo,LUO Yuan,XU Xiao-dong.Gesture track recognition based on Kinect depthimage information and its applications[J].Application Research of Computers,2012,29(9):3547-3550. | |
| Authors: | ZHANG Yi ZHANG Shuo LUO Yuan XU Xiao-dong |
| Affiliation: | 1. a. Institute of Automation, b. Institute of Optoelectronics Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China; 2. School of Automation, University of Electronic Science & Technology of China, Chengdu 611731, China |
| 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 modelHMMtrained 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. |
| Keywords: | gesture track recognition Kinect sensor OpenNI HMM |
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