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International Journal of Zoology and Applied Biosciences Research Article
EEG-Based assessment of emotions and stress using arousal valence classification
Sridevi T, Renuka Devi R, Swathi T, Nafisa Farheen and Chandra Lekha SB
Year : 2025 | Pages: 659-662
Received on: 06/10/2025
Revised on: 25/10/2025
Accepted on: 27/11/2025
Published on: 01/12/2025
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Sridevi T, Renuka Devi R, Swathi T, Nafisa Farheen and Chandra Lekha SB( 2025).
EEG-Based assessment of emotions and stress using arousal valence classification
. International Journal of Zoology and Applied Biosciences, 10( 6), 659-662.
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Abstract
Emotions and stress significantly influence human cognition, behavior, and overall well-being. Electroencephalography (EEG) provides a non-invasive method to monitor brain activity and classify emotional states. This study employs the arousal-valence model to analyze EEG signals recorded from participants performing mental and physical tasks. EEG data were acquired using the RMS Maximums 24-channel EEG system, and analysis software was used for artifact removal, feature extraction, and emotional state classification. The emotional states were visualized using a color-coded tomography map, allowing easy interpretation of different emotions. This approach offers potential applications in monitoring mental health and improving cognitive function.
Keywords
EEG, Emotions, Stress, Arousal-Valence Model, RMS EEG, Tomography Map.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
