User Training With Error Augmentation for sEMG-Based Gesture Classification
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wristband configuration. sEMG data were streamed into a machine-learning algorithm that classified hand gestures in real-time. After an initial...
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| Main Authors: | , , , , , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2024-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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