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cs.HC2025
Spiking Neural Network Decoders of Finger Forces from High-Density Intramuscular Microelectrode Arrays
Farah Baracat, Agnese Grison, Dario Farina +2
Restoring naturalistic finger control in assistive technologies requires the continuous decoding of motor intent with high accuracy, efficiency, and robustness. Here, we present a…
cs.HC2025★ 2 cited
Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals
Farah Baracat, Luca Manneschi, Elisa Donati
Regression-based decoding of continuous movements is essential for human-machine interfaces (HMIs), such as prosthetic control. This study explores a feature-based approach to enco…