Tensorflow implementation for "A Novel Solution for EEG-based Emotion Recognition"
run 'python seed_train.py' in your terminal
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:
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}
}