| Issue |
ITM Web Conf.
Volume 81, 2026
International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/itmconf/20268101021 | |
| Published online | 23 January 2026 | |
Human Emotion Identification Using Brain Waves and Facial Images
1 Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore – 641 022, Tamil Nadu, India
2 Department of M.Tech CSE, Sri Ramakrishna Engineering College, Coimbatore – 641 022, Tamil Nadu, India
3 Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore – 641 022, Tamil Nadu, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Emotions carry considerable weight in any human interaction. This study presents a bimodal framework for detecting emotions through which brainwaves are combined with facial images to promote better identification of emotions. The EEG data sets acquired non-invasively resolve internal neuronal activities across frequency bands manifesting an emotional state. Simultaneously, the facial expressions including happiness, sadness, and neutrality provide an inhibitory complementary layer of observation. The merging of these two methodologies delivers more fine-tuned knowledge into the subject of emotion as such observations can greatly help in cases of stress management and supporting people who have an impaired ability to communicate.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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