INTEGRATION OF PHYSIOLOGICAL AND VISUAL DATA TO IMPROVE THE ACCURACY OF DETERMINING EMOTIONAL STATES

This article discusses methods for recognizing human emotions by facial expressions, combining visual and physiological approaches. A visual approach based on the Facial Motion Coding System (FACS) analyzes key points on the face to identify emotions. The physiological approach examines facial thermography, photoplethysmography, pupil width, and respiratory rate to obtain additional information about the emotional state. The article discusses the advantages and disadvantages of each method, as well as their potential application in medicine, advertising, and other fields. Special attention is paid to the complexity of interpreting physiological data and the influence of external factors on the results.

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Publication Details

Published
2025-06-15
DOI
https://doi.org/10.21667/978-5-7722-0428-3-103-107
Primary Topic
Color perception and design
Type
article
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article

INTEGRATION OF PHYSIOLOGICAL AND VISUAL DATA TO IMPROVE THE ACCURACY OF DETERMINING EMOTIONAL STATES

Aleksandr N. Kolesenkov, V.E. Pasichnyak
Color perception and design
article

INTEGRATION OF PHYSIOLOGICAL AND VISUAL DATA TO IMPROVE THE ACCURACY OF DETERMINING EMOTIONAL STATES

Aleksandr N. Kolesenkov, V.E. Pasichnyak
article en

Abstract

This article discusses methods for recognizing human emotions by facial expressions, combining visual and physiological approaches. A visual approach based on the Facial Motion Coding System (FACS) analyzes key points on the face to identify emotions. The physiological approach examines facial thermography, photoplethysmography, pupil width, and respiratory rate to obtain additional information about the emotional state. The article discusses the advantages and disadvantages of each method, as well as their potential application in medicine, advertising, and other fields. Special attention is paid to the complexity of interpreting physiological data and the influence of external factors on the results.

Openalex Percentile: Top 74%
Color perception and design
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