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eess.SP2024
EMGTTL: Transformers-Based Transfer Learning for Classification of ADL using Raw Surface EMG Signals
Ashraf Ali Kareemulla, Rakesh Kumar Sanodiya, Anish Chand Turlapaty +1
Surface Electromyography (sEMG) is widely studied for its applications in rehabilitation, prosthetics, robotic arm control, and human-machine interaction. However, classifying Acti…
eess.SP2023
An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training
Durgesh Kusuru, Anish C. Turlapaty, Mainak Thakur
Recent literature suggests that the surface electromyography (sEMG) signals have non-stationary statistical characteristics specifically due to random nature of the covariance. Thu…