Huang Lin

Huang Lin

Machine Learning Engineer and Researcher working on model development, LLM evaluation, and data analysis.

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals

Published in Engineering Proceedings, 2024

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals preview
Published Engineering Proceedings

This paper proposes an SFDN+DNN approach for sEMG-based hand movement recognition. By cleaning and normalizing sEMG signals before DNN classification, the method achieves high accuracy across multiple public datasets and supports efficient prosthetic control applications.

Deep Learning sEMG Signal Processing Classification Prosthetic Control
Paper All Research

Citation

Khorram, A., Lin, H., & Peng, W. (2024). Engineering Proceedings.