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Khondoker Ahmed

1 accepted papers

2025

ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke

RA-L 2025

Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a

Cited by 7SourceScholar