Classification Of Myoelectric Signal Using Spectrogram Based Window Selection
This paper presents a study of the classification of myoelectric signal using spectrogram with different window sizes. The electromyography (EMG) signals of 40 hand movement types are collected from 10 subjects through NinaPro database. By employing spectrogram, the EMG signals are represented in ti...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit UTHM
2019
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| オンライン･アクセス: | http://eprints.utem.edu.my/id/eprint/24168/2/CLASSIFICATION%20OF%20MYOELECTRIC%20SIGNAL.PDF http://eprints.utem.edu.my/id/eprint/24168/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4694/2991 |
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