Analysis of Different Frequency Band in EEG Signals for Cognitive Based Specific Emotions

DOI

10.2991/978-94-6239-674-6_24How to use a DOI?

Keywords

EEG; DEAP; Brainwave patterns; bi-LSTM; frequency bands

Abstract

A number of EEG frequency bands are studied in this work to classify-specific-based emotions using DEAP (Dataset for Emotion Analysis using Physiological Signals). The need for more precise and scalable solutions to recognize human emotional states is increasing, especially when it comes to understanding the mental state of those individuals that cannot effectively communicate their emotions (e.g., as, one with disabilities or cognitive impairment). EEG signals are excellent non-invasive signal media to record different brain wave patterns that are linked with different emotions. Specific cognitive states and affective states are linked with discrimination of such frequency bands, which means the success in detection of these bands is crucial for interpretation of neural correlates of said emotions. The goal of our work is to advance emotion recognition for real life applications and mental health monitoring. State-of-the-art machine learning algorithms such as the bi-LSTM are applied to EEG based emotion classification [5]. We incorporate the forward and backward dependencies of signals in order to increase recognition accuracy using Bi-LSTM, from which we obtained an accuracy rate of 85%.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sonu Kumar Jha
AU  - Pragya Gupta
AU  - Harsh Chauhan
PY  - 2026
DA  - 2026/05/28
TI  - Analysis of Different Frequency Band in EEG Signals for Cognitive Based Specific Emotions
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 273
EP  - 285
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_24
DO  - 10.2991/978-94-6239-674-6_24
ID  - Jha2026
ER  -