Open Access
Issue |
ITM Web Conf.
Volume 70, 2025
2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
|
|
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Article Number | 03012 | |
Number of page(s) | 8 | |
Section | Image Processing and Computer Vision | |
DOI | https://doi.org/10.1051/itmconf/20257003012 | |
Published online | 23 January 2025 |
- A. Konar, A. Halder, A. Chakraborty, Introduction to emotion recognition. Emotion Recognition: A Pattern Analysis Approach, 1–45 (2015) [Google Scholar]
- D. J. Vandervoort, The importance of emotional intelligence in higher education. Current Psychology: Development, Learning, Personality, Social, 25(1), 4–7 (2006) [Google Scholar]
- C. Scotty, G. Arthur, S. Jeremiah, Affect and learning: An exploratory look into the role of affect in learning with Auto Tutor, Journal of Educational Media, 29 (3), 241250 (2004) [Google Scholar]
- M. Nussbaum, Emotions as Judgments of Value and Importance. Series in affective science, 183–199 (2004) [Google Scholar]
- A. Saxena, A. Khanna, D. Gupta, Emotion recognition and detection methods: A comprehensive survey. Journal of Artificial Intelligence and Systems, 2(1), 53–79 (2020) [CrossRef] [Google Scholar]
- M. S. Bartlett, G. Littlewort, I. Fasel and J. R. Movellan, Real Time Face Detection and Facial Expression Recognition: Development and A lications to Human Computer Interaction, 2003 Conference on Computer Vision and Pattern Recognition, 53–53 (2003) [Google Scholar]
- R. Guo, H. Guo, L. Wang, Development and application of emotion recognition technology—a systematic literature review. BMC psychology, 12 (1), 95 (2024) [CrossRef] [Google Scholar]
- Y. Cai, X. Li, J. Li, Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review. Sensors, 23 (5), 2455 (2023) [CrossRef] [Google Scholar]
- Q. Mao, M. Dong, Z. Huang and Y. Zhan, Learning Salient Features for Speech Emotion Recognition Using Conational Neural Networks, in IEEE Transactions on Multimedia, 16, 2203-2213 (2014) [CrossRef] [Google Scholar]
- Z. Huang, M. Mao, Q. R. Zhan, Speech Emotion Recognition Using CNN. MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia, 801–804 (2014) [Google Scholar]
- S.C. Tai and K. C. Chung, Automatic facial expression recognition system using Neural Networks, TENCON 2007 - 2007 IEEE Region 10 Conference, 1–4 (2007) [Google Scholar]
- Q. Y. Huma, Facial Expression Recognition Using Stationary Wavelet Transform Features. Mathematical Problems in Engineering, 1–9 (2017) [Google Scholar]
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