Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
The dataset files (SEED and SEED-IV) can be downloaded from the BCMI official website
To facilitate data retrieval, we divided both datasets into three folders according to the sessions, the file structure of the datasets should be like:
eeg_feature_smooth/
1/
2/
3/
ExtractedFeatures/
1/
2/
3/
Run python msmdaer.py, and the results will be printed in the terminal.
Issues are welcome. For major changes, please open an issue first to discuss what you would like to change.
If you find our work useful for your research, please consider citing our paper as:
@article{chen2021ms,
title={MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition},
author={Chen, Hao and Jin, Ming and Li, Zhunan and Fan, Cunhang and Li, Jinpeng and He, Huiguang},
journal={arXiv preprint arXiv:2107.07740},
year={2021}
}