CarrieX6 / Self-supervised-EEG-classify

Tensorflow implementation for "A Novel Solution for EEG-based Emotion Recognition"

Self-supervised-EEG-classify

Tensorflow implementation for "A Novel Solution for EEG-based Emotion Recognition"

run 'python seed_train.py' in your terminal

About Dataset

The SJTU Affective EEG Dataset (SEED) is a collection of EEG datasets provided by BCMI Labs, led by Professor Baoliang Lv. Apply permission of the dataset in:

http://bcmi.sjtu.edu.cn/~seed

Citation

If you use our code in your research or wish to refer to the baseline results, please use the following BibTeX entry.

@inproceedings{xie2021novel,
  title={A Novel Solution for EEG-based Emotion Recognition},
  author={Xie, Zhuofan and Zhou, Mingzhang and Sun, Haixin},
  booktitle={2021 IEEE 21st International Conference on Communication Technology (ICCT)},
  pages={1134--1138},
  year={2021},
  organization={IEEE}
}