Progressive Fusion Network (PFNet) for Integration of Domain Knowledge Guided Feature Engineering and Deep Feature Learning in Surface Electromyography Based Hand Movement Recognition

This repo contains the code for the intra-subject experiments on NinaProDB5 in the paper: Wentao Wei, Xuhui Hu, Hua Liu, Ming Zhou, Yan Song*. Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition[J]. Computational Intelligence and Neuroscience, 2021.12.

It should be mentioned that the code for feature extraction is not included in this repo.

Requirements

• A CUDA compatible GPU
• Ubuntu 14.04 or any other Linux/Unix that can run Docker
• Docker
• Nvidia Docker

Usage

For detailed methods of running the code and training on NinaProDB5, please contact weiwentao@njust.edu.cn

License

Licensed under an GPL v3.0 license.