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Sensors
Volume 25
Issue 12
10.3390/s25123829
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks

by
Xiangwei Mou
1,2,*,
Yongfu Song
1,
Xiuping Xie
1,
Mingxuan You
1 and
Rijun Wang
2,*
1
College of Electronic and Information Engineering/Integrated Circuits, Guangxi Normal University, Guilin 541004, China
2
Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin 541004, China
*
Authors to whom correspondence should be addressed.
Sensors 2025, 25(12), 3829; https://doi.org/10.3390/s25123829
Submission received: 14 May 2025 / Revised: 8 June 2025 / Accepted: 19 June 2025 / Published: 19 June 2025
(This article belongs to the Special Issue Sensing Technologies Applied in Human Emotion and Facial Expression Recognition)
Versions Notes

Abstract

Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes. The resultant degradation in real-world performance critically impedes the integration of facial expression recognition systems into intelligent sensing applications. Therefore, this paper proposes a facial expression recognition method for image sequences based on the fusion of dual neural networks (ResNet and residual bidirectional GRU—Res-RBG). The model proposed in this paper achieves recognition accuracies of 98.10% and 88.64% on the CK+ and Oulu-CASIA datasets, respectively. Moreover, the model has a parameter size of only 64.20 M. Compared to existing methods for image sequence-based facial expression recognition, the approach presented in this paper demonstrates certain advantages, indicating strong potential for future edge sensor deployment.

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MDPI and ACS Style

Mou, X.; Song, Y.; Xie, X.; You, M.; Wang, R. Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks. Sensors 2025, 25, 3829. https://doi.org/10.3390/s25123829

AMA Style

Mou X, Song Y, Xie X, You M, Wang R. Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks. Sensors. 2025; 25(12):3829. https://doi.org/10.3390/s25123829

Chicago/Turabian Style

Mou, Xiangwei, Yongfu Song, Xiuping Xie, Mingxuan You, and Rijun Wang. 2025. "Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks" Sensors 25, no. 12: 3829. https://doi.org/10.3390/s25123829

APA Style

Mou, X., Song, Y., Xie, X., You, M., & Wang, R. (2025). Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks. Sensors, 25(12), 3829. https://doi.org/10.3390/s25123829

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