Human Emotion Detection Using DeepFace and Artificial Intelligence
Author:
Affiliation:
1. Division of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, India
2. Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore 641114, India
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/59/1/37/pdf
Reference20 articles.
1. Huang, D., Guan, C., Ang, K.K., Zhang, H., and Pan, Y. (2012, January 10–15). Asymmetric spatial pattern for EEG-based emotion detection. Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
2. Deep learning-based facial emotion recognition for human–computer interaction applications;Chowdary;Neural Comput. Appl.,2021
3. Singh, S.K., Thakur, R.K., Kumar, S., and Anand, R. (2022, January 23–25). Deep learning and machine learning based facial emotion detection using CNN. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India.
4. Machine learning-based student emotion recognition for business English class;Cui;Int. J. Emerg. Technol. Learn.,2021
5. Deep learning-based speech emotion recognition using multi-level fusion of concurrent feature;Kakuba;IEEE Access,2022
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