Decoding Finger Movements from Medium-Density EMG Using GA-Optimized CNNs and Biomechanical Validation

Accurate interpretation of motor intent is crucial for controlling digital interfaces. Surface electromyography (EMG) is a promising non-invasive solution but faces a trade-off between high-resolution research systems and practical commercial devices.