A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network
Surface electromyographic signal (sEMG) is a kind of bioelectrical signal, which records the data of muscle activity intensity. Most sEMG-based hand gesture recognition, which uses machine learning as the classifier, depends on feature extraction of sEMG data. Recently, a deep leaning-based approach...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2020-07-01
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| Serie: | Sensors |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1424-8220/20/14/3994 |
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