A Personalized Multi-region Perception Network for Learner Facial Expression Recognition in Online Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64315-6_41
Reference19 articles.
1. Bian, C., et al.: Spontaneous facial expression database for academic emotion inference in online learning. IET Comput. Vis. 13(3), 329–337 (2019)
2. Dai, H.M., Teo, T., Rappa, N.A., Huang, F.: Explaining Chinese university students’ continuance learning intention in the MOOC setting: a modified expectation confirmation model perspective. Comput. Educ. 150, 103850 (2020)
3. Deng, J., et al.: RetinaFace: single-stage dense face localisation in the wild. CoRR abs/1905.00641 (2019)
4. Friesen, E., Ekman, P.: Facial action coding system: a technique for the measurement of facial movement. Palo Alto 3(2) (1978)
5. Goodfellow, I.J., et al.: Challenges in representation learning: a report on three machine learning contests. In: Neural Information Processing, pp. 117–124 (2013)
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