文件名称:sEMG feature extraction
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提取肌电信号的时域特征，ZC，WAMP，WL，SSC，RMS。以及特征的融合。肌电信号主要是采取了脚踝关节的六个动作。在动作识别中，时域的特征最常用，而且计算复杂度低，包含的信息也充分。(The time domain features of electromyographic signals were extracted, ZC, WAMP, WL, SSC, RMS. And the fusion of features. The electromyographic signal mainly involves six movements of the ankle joint. In motion recognition, time domain features are most commonly used, and the computational complexity is low, and the information contained is sufficient.)
相关搜索： 肌电信号
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| sEMG feature extraction\RootMeanSquare.m | 4827 | 2013-04-09 |
| sEMG feature extraction\SlopeSignChange.m | 5070 | 2013-04-09 |
| sEMG feature extraction\TimeDomain.m | 7976 | 2018-03-29 |
| sEMG feature extraction\WaveLength.m | 4921 | 2013-04-09 |
| sEMG feature extraction\WL_ZC_SSC_FDA_one.m | 15100 | 2013-04-09 |
| sEMG feature extraction\ZeroCrossing.m | 5846 | 2013-04-09 |
| sEMG feature extraction | 0 | 2018-03-29 |