Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions

Author:

Islam MD. Sajjatul,Sang Yongsheng,Mohammed Adam A.Q.,Yuan Lei,Lv Jiancheng

Funder

Science Foundation of Ministry of Education of China

Publisher

Elsevier BV

Subject

General Computer Science

Reference60 articles.

1. Aifanti, N., Papachristou, C., Delopoulos, A., 2010. The MUG Facial Expression Database. In: 11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10. Desenzano del Garda, pp. 1–4.

2. Video-based facial micro-expression analysis: a survey of datasets, features and algorithms;Ben;IEEE Trans. Pattern Anal. Mach. Intell.,2022

3. Random search for hyper-parameter optimization;Bergstra;J. Machine Learn. Res.,2012

4. Bulat, A., Tzimiropoulos, G., 2017. How Far Are We from Solving the 2D & 3D Face Alignment Problem? (And a Dataset of 230,000 3D Facial Landmarks). In: Proceedings of the IEEE International Conference on Computer Vision, 2017-October. Institute of Electrical and Electronics Engineers Inc., pp. 1021–1030. https://doi.org/10.1109/ICCV.2017.116.

5. Cohn, J.F., Ambadar, Z., Ekman, P. 2007. Observer-Based Measurement of Facial Expression with the Facial Action Coding System. In: Handbook of Emotion Elicitation and Assessment. Oxford University Press, pp. 203–221.

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