• Corpus ID: 238744094

Transformers for EEG Emotion Recognition

@article{Liu2021TransformersFE,
  title={Transformers for EEG Emotion Recognition},
  author={Jiyao Liu and Li Zhang and Hao Wu and Huan Zhao},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.06553}
}
  • Jiyao Liu, Li Zhang, +1 author Huan Zhao
  • Published 13 October 2021
  • Computer Science
  • ArXiv
Electroencephalogram (EEG) can objectively reflect emotional state and changes. However, the transmission mechanism of EEG in the brain and its internal relationship with emotion are still ambiguous to human beings. This paper presents a novel approach to EEG emotion recognition built exclusively on self-attention over the spectrum, space, and time dimensions to explore the contribution of different EEG electrodes and temporal slices to specific emotional states. Our method, named EEG emotion… 
1 Citations

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