Development of Bimodal Emotion Recognition System Based on Skin Temperature and Heart Rate Variability Using Hybrid Neural Networks

Development of Bimodal Emotion Recognition System Based on Skin Temperature and Heart Rate Variability Using Hybrid Neural Networks

Most studies indicate that bimodal emotion recognition systems are more objective and accurate. However, many of these systems depend on physiological signals that require direct measurement, which introduces certain limitations. This study aims to develop a new bimodal emotion recognition system ba...

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Bibliographic Details
Main Authors: Sayat Orynbassar, Duygun Erol Barkana, Evan Yershov, Madiyar Nurgaliyev, Ahmet Saymbetov, Batyrbek Zholamanov, Gulbakhar Dosymbetova, Ainur Kapparova, Nursultan Koshkarbay, Nurzhigit Kuttybay, Askhat Bolatbek, Kymbat Kopbay, Dinara Almen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Emotion recognition
thermographic images
heart rate variability
CNN
RNN
Online Access:https://ieeexplore.ieee.org/document/11006048/
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