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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3816-3820

Continuous emotion recognition based on perceiver resampling and multimodal fusion

Li Jian1a
Zhang Qian1a
Chen Haifeng1a
Li Jing1a
Wang Liyan1b
Pei Ercheng2
1. a. College of Electronic Information & Artificial Intelligence, b. College of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China
2. College of Computer Science & Technology, Xi'an University of Posts & Telecommunications, Xi'an 710021, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0217

Abstract

Emotion recognition plays a crucial role in human-computer interaction, and continuous emotion recognition has gained significant attention due to its ability to capture a broader range of emotions, including more subtle ones. In the field of multimodal continuous emotion recognition, this paper proposed a continuous emotion recognition method based on perceiver resampling and multimodal fusion for the problems that the temporal series information obtained by the existing methods contains more redundancy and the obtained multimodal interactive information is not comprehensive. Firstly, the perceiver resampling module removed redundant information, focused on key information, compressed the key features with temporal relationships into hidden vectors, and reduced the computational complexity of the later fusion. Secondly, the multimodal fusion module captured the interactive information between modalities through cross-attention mechanism, and used the self-attention mechanism to obtain the hidden information within each modality, so as to make the feature information richer and more comprehensive. The mean CCC values of arousal and valence on the Ulm-TSST and Aff-Wild2 datasets are 63.62% and 50.09%, respectively, which prove the effectiveness of the model.

Foundation Support

陕西科技大学博士科研启动基金资助项目(126022325)
陕西省自然科学基础研究计划资助项目(grant 2022JQ-662)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0217
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Technology of Graphic & Image
Pages: 3816-3820
Serial Number: 1001-3695(2023)12-047-3816-05

Publish History

[2023-08-10] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

李健, 张倩, 陈海丰, 等. 基于感知重采样和多模态融合的连续情感识别 [J]. 计算机应用研究, 2023, 40 (12): 3816-3820. (Li Jian, Zhang Qian, Chen Haifeng, et al. Continuous emotion recognition based on perceiver resampling and multimodal fusion [J]. Application Research of Computers, 2023, 40 (12): 3816-3820. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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