Microexpression Analysis Using a Model Based on CNN and Facial Expression Recognition

Author:

Pansambal B. H.,Nandgaokar A. B.

Publisher

Springer Nature Singapore

Reference20 articles.

1. Mohammadpour M, Khaliliardali H, Hashemi SMR, AlyanNezhadi MM Facial emotion recognition using deep convolutional networks. In: IEEE 4th international conference on knowledge-based engineering and innovation (KBEI), pp 0017–0021. IEEE, Tehran, Iran

2. Wang L, Song Y, Chen J, Sun G, Li H (2018) Emotion recognition using sequence mining. In: IEEE International Conference on Progress in Informatics and Computing (PIC), pp 129–133. IEEE, Suzhou, China

3. Chen H, Gu Y, Wang F, Sheng W (2018) Facial expression recognition and positive emotion incentive system for human-robot interaction. In: 13th World Congress on Intelligent Control and Automation (WCICA), pp 407–412. IEEE, Changsha, China

4. Kattubadi IB, Garimella RM (2019) Emotion classification: novel deep learning architectures. In: 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp 285–290. IEEE, Coimbatore, India

5. Zadeh MMT, Imani M, Majidi B (2019) Fast facial emotion recognition using convolutional neural networks and Gabor filters. In: 5th Conference on Knowledge Based Engineering and Innovation (KBEI), pp 577–581. IEEE, Tehran Iran

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