Author

Daanish Hindustani

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Preprint Jul 2026

An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification

This study investigates the feasibility of classifying ten hand gestures using a single sEMG channel combined with lightweight machine learning architectures and demonstrates that combining time and frequency features with Pearson filtering and a compact NN can achieve up to 90 percent accuracy.

Daanish Hindustani · 0 citations