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High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network
High-density surface electromyography (HD-sEMG) and deep learning technology are becoming increasingly used in gesture recognition. Based on electrode grid data, information can be extracted in the form of images that are generated with instant values of multi-channel sEMG signals. In previous studi...
Tallennettuna:
| Julkaisussa: | Sensors (Basel) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7070985/ https://ncbi.nlm.nih.gov/pubmed/32098264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20041201 |
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