HASTF: a hybrid attention spatio-temporal feature fusion network for EEG emotion recognition
The experimental results show that our method can effectively extract and fuse spatial and temporal information. It has excellent recognition performance, and also possesses strong robustness, performing stably across different datasets and experimental environments for emotion recognition.
Authors
- Chao Chen (ORCID: https://orcid.org/0000-0001-7358-4332)
- Jinying Bi (ORCID: https://orcid.org/0009-0001-0739-161X)
- Shuai Han (ORCID: https://orcid.org/0000-0001-5101-4953)
- Zida An (ORCID: https://orcid.org/0009-0005-3589-5822)
- Fangzhou Hu
- Gangguo Qu (ORCID: https://orcid.org/0009-0006-5938-0783)
- Fei Wang (ORCID: https://orcid.org/0000-0003-1669-8338)
Institutions
- China Medical University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-10-14
- DOI
- https://doi.org/10.3389/fnins.2024.1479570
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- National Natural Science Foundation of China