A new EEG emotion recognition method based on channel space attention

Tianqi Fan; Huihui Wang; Sen Qiu; Long Liu

doi:10.1117/12.3011808

8 November 2023 A new EEG emotion recognition method based on channel space attention

Tianqi Fan, Huihui Wang, Sen Qiu, Long Liu

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230K (2023) https://doi.org/10.1117/12.3011808
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

EEG signals are better able to show changes in human emotions. However, not all channels or spatial EEG signals are valid for emotion recognition. To capture the key effective features of EEG signals that are helpful for emotion recognition, we propose to use the channel space attention mechanism in EEG emotion recognition. We used channel attention to focus on the importance of different channel signals and spatial attention to focus on the importance of different brain regions. Experimental results show that the channel spatial attention mechanism achieves good performance and that it has significant benefits for EEG emotion recognition.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tianqi Fan, Huihui Wang, Sen Qiu, and Long Liu "A new EEG emotion recognition method based on channel space attention", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230K (8 November 2023); https://doi.org/10.1117/12.3011808

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