A Comprehensive survey on Emotion Recognition

Facial emotion recognition is crucial for interaction between human & computer. This paper delves into understanding various methods and techniques used for emotion recognition. Moreover, this study goes beyond emotion recognition to enable real-time depression analysis by correlating detected emotions with potential indicators of mental health. This approach underscores the importance of comprehensive datasets and robust methodologies in advancing facial emotion recognition and its applications in mental health assessment, offering insights for future research in this evolving field.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911870
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive survey on Emotion Recognition

Ke Bai, Anantaneni Harshita, Tejaswi Gaddam, Sravanth Mirtipati et al.
1 citations
Emotion and Mood Recognition
article

A Comprehensive survey on Emotion Recognition

Ke Bai, Anantaneni Harshita, Tejaswi Gaddam, Sravanth Mirtipati, Deepika Peyyala
article en
1 citations

Abstract

Facial emotion recognition is crucial for interaction between human & computer. This paper delves into understanding various methods and techniques used for emotion recognition. Moreover, this study goes beyond emotion recognition to enable real-time depression analysis by correlating detected emotions with potential indicators of mental health. This approach underscores the importance of comprehensive datasets and robust methodologies in advancing facial emotion recognition and its applications in mental health assessment, offering insights for future research in this evolving field.

Openalex Percentile: Top 67%
Emotion and Mood Recognition
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A Comprehensive survey on Emotion Recognition — Ke Bai, Anantaneni Harshita, et al. · (2024) | TGRS Research Map | TGRS