This is the official source code repository of "Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals".

We provide the core code for you to better understand the neural architecture search method proposed in our paper. The first step is to download the dataset in figshare and put them in 'data' file. The dataset contains the preprocessed sEMG images of all subjects. We used two GPU to accelerate the NAS process, maybe you need to modify a few lines of code.

If our work is helpful to you, please Star it and kindly Cite our paper as:

@article{WANG2024102777,
title = {Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals},
journal = {Artificial Intelligence in Medicine},
volume = {149},
pages = {102777},
year = {2024},
issn = {0933-3657},
doi = {https://doi.org/10.1016/j.artmed.2024.102777},
url = {https://www.sciencedirect.com/science/article/pii/S0933365724000198},
author = {Shurun Wang and Hao Tang and Feng Chen and Qi Tan and Qi Jiang},
}