Learning Non-Euclidean Representations With SPD Manifold for Myoelectric Pattern Recognition
How to learn informative representations from Electromyography (EMG) signals is of vital importance for myoelectric control systems. Traditionally, hand-crafted features are extracted from individual EMG channels and combined together for pattern recognition. The spatial topological information betw...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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