| 基于RBF神经网络的人体动态姿态识别算法 |
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| 引用本文： | 高晶敏,梁菁菁,李春云.基于RBF神经网络的人体动态姿态识别算法[J].北京机械工业学院学报,2011(4):27-29,39. |
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| 作者姓名： | 高晶敏 梁菁菁 李春云 |
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| 作者单位： | 北京信息科技大学自动化学院,北京100192 |
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| 基金项目： | 北京市属高校学术人力资源发展开发项目（PHR201007130;2009070124） |
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| 摘 要： | 利用三轴加速度传感器对人体姿态加速度信号进行采集和处理，通过径向等函数（RBF）神经网络算法对数据进行训练和分类，从而达到对人体基本动态姿态的识别。实验表明，该算法可以达到90％以上的识别率。
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| 关 键 词： | 三轴加速度传感器 姿态识别 RBF |
Research of human body dynamic posture recognition algorithm based on RBF neural network |
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| GAO Jing-min,LIANG Jing-jing,LI Chun-yun.Research of human body dynamic posture recognition algorithm based on RBF neural network[J].Journal of Beijing Institute of Machinery,2011(4):27-29,39. |
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| Authors: | GAO Jing-min LIANG Jing-jing LI Chun-yun |
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| Affiliation: | ( School of Automation, Beijing Information Science and Technology University, Beijing 100192, China) |
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| Abstract: | Using three axis acceleration sensor, acquire and process human body posture acceleration signal. And complete the training and the classification of the data through the RBF neural network algorithm, so as to achieve basic dynamic posture of the recognition of human body. Experiments show that this algorithm can achieve 90% above recognition rate. |
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| Keywords: | three axis acceleration sensor posture recognition RBF |
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