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This document presents the HandeXos-gamma, a novel torque-controlled hand exoskeleton designed for hand rehabilitation, utilizing a series-elastic actuator architecture and a hybrid intention decoding algorithm that combines surface electromyography (sEMG) signals with kinematic data. The study evaluates the performance of three algorithm variants and demonstrates that the combination of sEMG and kinematic data enhances the algorithm

Author

adhvith2021

Language

EN