SST-CRAM: spatial-spectral-temporal based convolutional recurrent neural network with lightweight attention mechanism for EEG emotion recognition
Author:
Funder
Natural Science Research Council Fund Projects of Rizhao City
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11571-024-10114-z.pdf
Reference49 articles.
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3. Aydin S (2020) Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips. IEEE J Biomed Health Inform 24:1695–1702. https://doi.org/10.1109/JBHI.2019.2959843
4. Bagheri M, Power SD (2020) EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other. J Neural Eng 17:056015. https://doi.org/10.1088/1741-2552/abbc27
5. Busso C, Deng Z, Yildirim S, et al (2004) Analysis of emotion recognition using facial expressions, speech and multimodal information. In: Proceedings of the 6th international conference on Multimodal interfaces. ACM, State College PA USA, pp 205–211
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