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Special Topics in Development and Application of Multimodal Large Models
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 6
1641-1647

Multimodal dialogue emotion perception algorithm based on feature divergence

Ren Qinzea,b
Yuan Yea,b
Fu Ketinga,b
Fu Junxiua,b
Xu Kanga,b
Liu Naa,b
a. Institute of Machine Intelligence, b. School of Health Science & Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2024.12.0466

Abstract

Multimodal emotion perception is crucial for monitoring personal health and providing medical care in the field of proactive health. Current multimodal dialogue emotion perception technologies face challenges in fusing information across different modalities, particularly in capturing local relationships between modalities. The proposed multimodal fusion algorithm based on feature diversion, MEPAD(multimodal emotion perception algorithm with feature diversion), addressed these challenges by capturing global information in dialogues using graph neural networks and integrating homogeneous and specific features across modalities through the hypercomplex number system and pairwise feature fusion mechanisms. Experiments on the IEMOCAP and MOSEI datasets demonstrate that MEPAD significantly outperforms existing methods in multimodal dialogue emotion perception tasks, highlighting its effectiveness and potential in handling complex emotional data. This research offers new insights for the application of multimodal emotion perception technology in proactive health.

Foundation Support

主动健康服务数智化技术区域综合应用示范(2023YFC3605800)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.12.0466
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 6
Section: Special Topics in Development and Application of Multimodal Large Models
Pages: 1641-1647
Serial Number: 1001-3695(2025)06-005-1641-07

Publish History

[2025-03-10] Accepted Paper
[2025-06-05] Printed Article

Cite This Article

任钦泽, 袁野, 傅柯婷, 等. 基于特性分流的多模态对话情绪感知算法 [J]. 计算机应用研究, 2025, 42 (6): 1641-1647. (Ren Qinze, Yuan Ye, Fu Keting, et al. Multimodal dialogue emotion perception algorithm based on feature divergence [J]. Application Research of Computers, 2025, 42 (6): 1641-1647. )

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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