Abstract: Gesture recognition systems based on surface electromyography (sEMG) exhibit high accuracy in laboratory settings. However, they often underperform in real-world applications due to the ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
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