Open Access
| Issue |
E3S Web Conf.
Volume 522, 2024
2023 9th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2023)
|
|
|---|---|---|
| Article Number | 01042 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202452201042 | |
| Published online | 07 May 2024 | |
- Ekman P., Freisen W.V., Ancoli S. Facial signs of emotional experience]. Journal of personality and social psychology, 1980, 39(6): 1125–1134. [CrossRef] [Google Scholar]
- Wang S.H., Phillips P., Dong Z.C., et al. Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm[J]. Neurocomputing, 2018, 272: 668–676. [CrossRef] [Google Scholar]
- Seo J., Laine T.H., Oh G., et al. EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models[J]. Sensors, 2020, 20(24): 7212. [CrossRef] [PubMed] [Google Scholar]
- Picard R.W., Vyzas E., Healey J. Toward machine emotional intelligence: Analysis of affective physiological state [J]. IEEE transactions on pattern analysis and machine intelligence, 2001, 23(10):1175–1191. [CrossRef] [Google Scholar]
- AlZoubi O., D'Mello S.K., Calvo R.A. Detecting naturalistic expressions of monobasic affect using physiological signals[J]. IEEE Transactions on Affective Computing, 2012, 3(3): 298–310. [CrossRef] [Google Scholar]
- Wang Z., Tong Y., Heng X. Phase-locking value based graph convolutional neural networks for emotion recognition[J]. IEEE Access, 2019, 7:93711–93722. [Google Scholar]
- Goodfellow I., Pouget-Abadie J., Mirza M., et al. Generative adversarial nets [J]. Advances in neural information processing systems, 2014, 27. [Google Scholar]
- Gulrajani I., Ahmed F., Arjovsky M., et al. Improved training of wasserstein GANs[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems. 2017: 5769–5779. [Google Scholar]
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