The Study of a Five-Dimensional Emotional Model for Facial Emotion Recognition

Joint Authors

Zhang, Xiangliang
Zhang, Hanzhong
Yin, Jibin

Source

Mobile Information Systems

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-28

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Telecommunications Engineering

Abstract EN

Based on basic emotion theory and the PAD emotion model that can describe continuous emotion changes, we first propose a more general concept of a five-dimensional emotion model to better meet the needs in the area of emotion recognition.

We determined the relationship between its dimensions and basic emotions and used a Pearson correlation analysis, multilayer perceptron, and other methods to compare and verify it with volunteer human identifiers.

The results demonstrated that the five-dimensional emotion model was better than human identification in the field of emotion recognition.

We also compared it with the PAD emotion model.

The results demonstrated that the five-dimensional emotion model performed better.

Finally, using the proposed model, we designed a technology prototype of a mood adaptive interface to demonstrate its potential application.

American Psychological Association (APA)

Zhang, Hanzhong& Yin, Jibin& Zhang, Xiangliang. 2020. The Study of a Five-Dimensional Emotional Model for Facial Emotion Recognition. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1192544

Modern Language Association (MLA)

Zhang, Hanzhong…[et al.]. The Study of a Five-Dimensional Emotional Model for Facial Emotion Recognition. Mobile Information Systems No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1192544

American Medical Association (AMA)

Zhang, Hanzhong& Yin, Jibin& Zhang, Xiangliang. The Study of a Five-Dimensional Emotional Model for Facial Emotion Recognition. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1192544

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192544