Real-Time Facial Expression Recognition Based on CNN

R. Deepthi Crestose Rebekah, Pawar Bhavya, Avula Vasanthi, Arava Mamatha Sumanjali, Valchannagari Vyshnavi

2025

Abstract

Facial expression recognition through CNN in real-time is a deep learning technique that is intended to recognize and classify facial emotions instantly. The accurate recognition, though, is difficult to attain because of factors such as changes in lighting, occlusions, and prominent facial features. Furthermore, high computational requirements create problems, particularly for resource-constrained devices. It is essential to balance accuracy with efficiency for maximum performance. In response to these issues, the suggested system includes PCA for dimension reduction and Bayesian optimization for model adjustment. PCA boosts computational efficiency through data dimensions reduction, while Bayesian optimization tunes hyperparameters to increase accuracy. The system surpasses current models through increased precision, reduced processing time, and minimized computational complexity, ultimately providing an efficient real-time facial expression recognition solution.

Paper Citation

in Harvard Style

Rebekah R., Bhavya P., Vasanthi A., Sumanjali A. and Vyshnavi V. (2025). Real-Time Facial Expression Recognition Based on CNN. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 605-609. DOI: 10.5220/0013917600004919

in Bibtex Style

@conference{icrdicct`2525,
author={R. Rebekah and Pawar Bhavya and Avula Vasanthi and Arava Sumanjali and Valchannagari Vyshnavi},
title={Real-Time Facial Expression Recognition Based on CNN},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={605-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013917600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Real-Time Facial Expression Recognition Based on CNN
SN - 978-989-758-777-1
AU - Rebekah R.
AU - Bhavya P.
AU - Vasanthi A.
AU - Sumanjali A.
AU - Vyshnavi V.
PY - 2025
SP - 605
EP - 609
DO - 10.5220/0013917600004919
PB - SciTePress