Investigation of a novel approach to facial emotion detection using an attention-enhanced residual network

Jingran Liu; Cheng Peng

doi:10.1117/12.3051960

16 January 2025 Investigation of a novel approach to facial emotion detection using an attention-enhanced residual network

Jingran Liu, Cheng Peng

Author Affiliations +

Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134470D (2025) https://doi.org/10.1117/12.3051960
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China

Abstract

This paper introduces a facial expression recognition method based on a residual network that incorporates a channel-space attention mechanism module. The method enhances the ResNet50 architecture and integrates label smoothing as a regularization technique. These innovations effectively reduce the impact of noise in facial expression recognition tasks, improve the model's generalization ability, and significantly boost recognition accuracy.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingran Liu and Cheng Peng "Investigation of a novel approach to facial emotion detection using an attention-enhanced residual network", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134470D (16 January 2025); https://doi.org/10.1117/12.3051960

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