Recognizing, Analyzing, and Assessing Human Interactions by Emotional Reactions

This paper describes the concept and information model for recognizing, analyzing and assessing the interaction of people from different target groups based on emotional reactions. The model includes the classification and identification of people by their clothing color, tracking their movement in a limited space, determining the fact of interaction between people and assessing the quality of interaction by human emotions, determined by face images and voice sounds. The concept and information model are realized in the developed automated video surveillance system for human interactions. The results of tests of the automated system are presented.

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Publication Details

Journal
Scientific and Technical Information Processing
Published
2024-12-01
DOI
https://doi.org/10.3103/s0147688224700345
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognizing, Analyzing, and Assessing Human Interactions by Emotional Reactions

A. D. Ulyev, Alexey B. Petrovsky, А. В. Заболеева-зотова
Scientific and Technical Information Processing
Emotion and Mood Recognition
article

Recognizing, Analyzing, and Assessing Human Interactions by Emotional Reactions

A. D. Ulyev, Alexey B. Petrovsky, А. В. Заболеева-зотова
article en

Abstract

This paper describes the concept and information model for recognizing, analyzing and assessing the interaction of people from different target groups based on emotional reactions. The model includes the classification and identification of people by their clothing color, tracking their movement in a limited space, determining the fact of interaction between people and assessing the quality of interaction by human emotions, determined by face images and voice sounds. The concept and information model are realized in the developed automated video surveillance system for human interactions. The results of tests of the automated system are presented.

Scientific and Technical Information ProcessingVol. 51(5)
Volgograd State Technical University (RU)
Openalex Percentile: Top 67%
Emotion and Mood Recognition
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