Relevant Facial Key Parts and Feature Points for Emotion Recognition

Rim Afdhal, Ridha Ejbali, Mourad Zaied

2024

Abstract

Interaction between people is more than just verbal communication. According to scientific researches, human beings trust a lot on non-verbal techniques of communication, particularly communication and understanding each other via facial expressions. Facial expressions are more descriptive in situations where words fail, such as a surprise or a shock. In addition, lying via spoken words is harder to notice compared to faking expressions. Focusing on geometric positions of facial key parts and well detecting them is the best strategy to boost the classification rates of emotion recognition systems. The goal of this paper is to find the most relevant part of human face which is responsible to express a given emotion using feature points and to define a primary emotion by a minimum number of characteristic points. The proposed system contains four main parts: the face detection, the points location, the information extraction, and finally the classification.

Paper Citation

in Harvard Style

Afdhal R., Ejbali R. and Zaied M. (2024). Relevant Facial Key Parts and Feature Points for Emotion Recognition. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 1270-1277. DOI: 10.5220/0012464300003636

in Bibtex Style

@conference{icaart24,
author={Rim Afdhal and Ridha Ejbali and Mourad Zaied},
title={Relevant Facial Key Parts and Feature Points for Emotion Recognition},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1270-1277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012464300003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Relevant Facial Key Parts and Feature Points for Emotion Recognition
SN - 978-989-758-680-4
AU - Afdhal R.
AU - Ejbali R.
AU - Zaied M.
PY - 2024
SP - 1270
EP - 1277
DO - 10.5220/0012464300003636
PB - SciTePress