EmoTake is a deep learning-empowered system that explores drivers’ emotional and physical states to predict takeover readiness, reaction time, and quality.
For more detailed baseline information, please refer to iTransformer.
If you find our work helpful, please consider citing the following papers.
@article{gu2024emotake,
title={EmoTake: Exploring Drivers' Emotion for Takeover Behavior Prediction},
author={Gu, Yu and Weng, Yibing and Wang, Yantong and Wang, Meng and Zhuang, Guohang and Huang, Jinyang and Peng, Xiaolan and Luo, Liang and Ren, Fuji},
journal={IEEE Transactions on Affective Computing},
year={2024},
publisher={IEEE}
}
If you have any questions or want to use the code, feel free to contact:
- Yibing Weng: (903431791@qq.com)
- Yu Gu: (yugu.bruce@ieee.org)