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Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network
In recent years, surface electromyography (sEMG) signals have been increasingly used in pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition model using sEMG is proposed. We use an armband to acquire sEMG signals and apply a sliding window approach to segment t...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6679304/ https://ncbi.nlm.nih.gov/pubmed/31323888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19143170 |
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