Multi-modality Affective Computing Model Based on Personality and Memory Mechanism

Authors

Sijin Zhou, 1.School of Engineering, Shantou University, Shantou 515063, China;Follow
Dicheng Chen, 1.School of Engineering, Shantou University, Shantou 515063, China;
Geng Tu, 1.School of Engineering, Shantou University, Shantou 515063, China;
Dazhi Jiang, 1.School of Engineering, Shantou University, Shantou 515063, China;2.Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China;Follow

Abstract

Abstract: With the development of affective computing, the correlation of memory, individuation and emotion is more and more important. Focus on the machine emotion shortcomings in the perception, understanding and expression, an emotion computing model integrating the emotion perception, understanding and expression is proposed. The model is a memory-oriented deep network perception model that accepts multiple modal inputs (visual, auditory, lexical) and applies a fuzzy emotion integration decision to realize the understanding of uncertain emotions. The simulation experiments prove that the model has a good performance in all kinds of multimodal affective computing.

Recommended Citation

Zhou, Sijin; Chen, Dicheng; Tu, Geng; and Jiang, Dazhi (2022) "Multi-modality Affective Computing Model Based on Personality and Memory Mechanism," Journal of System Simulation: Vol. 34: Iss. 4, Article 10.
DOI: 10.16182/j.issn1004731x.joss.20-0899
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/10

First Page

745

Revised Date

2021-01-05

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0899

Last Page

758

CLC

TP311

Recommended Citation

Sijin Zhou, Dicheng Chen, Geng Tu, Dazhi Jiang. Multi-modality Affective Computing Model Based on Personality and Memory Mechanism[J]. Journal of System Simulation, 2022, 34(4): 745-758.

Corresponding Author

Dazhi Jiang,dzjiang@stu.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-0899