A Deep Learning Model for Automatic Recognition of Facial Expressions Using Haar Cascade Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7862-5_14
Reference33 articles.
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3. Fan, Y., Lu, X., Li, D., & Liu, Y. (2016). Video-based emotion recognition using CNN-RNN and C3D hybrid networks. In Proceedings of the 18th ACM international conference on multimodal interaction (pp. 445–450). https://doi.org/10.1145/2993148.2997632.
4. Zheng, W. Q., Yu, J. S., & Zou, Y. X. (2015). An experimental study of speech emotion recognition based on deep convolutional neural networks. In Proceedings of the 2015 international conference on affective computing and intelligent interaction (ACII) (pp. 827–831). IEEE. https://doi.org/10.1109/ACII.2015.7344669.
5. Badrulhisham, N. A. S., & Mangshor, N. N. A. (2021). Emotion recognition using convolutional neural network (CNN). Journal of Physics: Conference Series, 1962(1), 012040. https://doi.org/10.1088/1742-6596/1962/1/012040
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