This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its ...

We report the first optical microsystem that captures index finger microgestures with the precision, bandwidth, power consumption and form-factor required for close-range handwriting and gesture ...