Accelerometry based classification of gait patterns using empirical mode decomposition

机译：基于加速度基于经验模式分解的步态模式分类

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This paper describes accelerometry based classification of walking patterns. A feature extraction technique based on empirical mode decomposition (EMD) is proposed for the classification of unsupervised walking activities from accelerometry data. The fron

机译：本文介绍了基于加速度的步行模式的分类。提出了一种基于经验模式分解（EMD）的特征提取技术，用于从加速度数据进行沉重的行走活动的分类。前面

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来源
《IEEE International Conference on Acoustics, Speech and Signal Processing》|2008年||共4页
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作者
Ning Wang; Ambikairajah E.; Celler B.G.; Lovell N.H.;
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中图分类 TN911.7-53;
关键词
Gaussian processes; accelerometers; feature extraction; gait analysis; pattern classification; Gaussian mixture model classifier; accelerometry; empirical mode decomposition; feature extraction; gait pattern classification; human gait patterns; walking patterns; Gau;

机译：高斯过程;特征提取;步态分析;图案分类;高斯混合模型分类器;加速度计;经验模式分解;特征提取;步态模式分类;人体步态;

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4. Accelerometry based classification of gait patterns using empirical mode decomposition [C] . Ning Wang, Ambikairajah E., Celler B.G., IEEE International Conference on Acoustics, Speech and Signal Processing . 2008

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5. Classification and modeling of human activities using empirical mode decomposition with s-band and millimeter-wave micro-doppler radars [D] . Fairchild, Dustin P. 2013

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7. Accelerometry based classification of gait patterns using Empirical Mode Decomposition [O] . Ning Wang, Eliathamby Ambikairajah, Branko G. Celler, 2008

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Accelerometry based classification of gait patterns using empirical mode decomposition

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