Investigating improvements to neural network based EMG to joint torque estimation
Although surface electromyography (sEMG) has a high correlation to muscle force, an accurate model that can estimate joint torque from sEMG is still elusive. Artificial neural networks (NN), renowned as universal approximators, have been employed to capture this complex nonlinear relation. This work...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2011-12-01
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| Series: | Paladyn |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/s13230-012-0007-2 |