Multi-Face Emotion Detection for Effective Human-Robot Interaction

Mohamed Ala Yahyaoui, Mouaad Oujabour, Leila Ben Letaifa, Amine Bohi

2025

Abstract

The integration of dialogue interfaces in mobile devices has become ubiquitous, providing a wide array of services. As technology progresses, humanoid robots designed with human-like features to interact effectively with people are gaining prominence, and the use of advanced human-robot dialogue interfaces is continually expanding. In this context, emotion recognition plays a crucial role in enhancing human-robot interaction by enabling robots to understand human intentions. This research proposes a facial emotion detection interface integrated into a mobile humanoid robot, capable of displaying real-time emotions from multiple individuals on a user interface. To this end, various deep neural network models for facial expression recognition were developed and evaluated under consistent computer-based conditions, yielding promising results. Afterwards, a trade-off between accuracy and memory footprint was carefully considered to effectively implement this application on a mobile humanoid robot.

Paper Citation

in Harvard Style

Yahyaoui M., Oujabour M., Ben Letaifa L. and Bohi A. (2025). Multi-Face Emotion Detection for Effective Human-Robot Interaction. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 91-99. DOI: 10.5220/0013170300003890

in Bibtex Style

@conference{icaart25,
author={Mohamed Yahyaoui and Mouaad Oujabour and Leila Ben Letaifa and Amine Bohi},
title={Multi-Face Emotion Detection for Effective Human-Robot Interaction},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={91-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013170300003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Multi-Face Emotion Detection for Effective Human-Robot Interaction
SN - 978-989-758-737-5
AU - Yahyaoui M.
AU - Oujabour M.
AU - Ben Letaifa L.
AU - Bohi A.
PY - 2025
SP - 91
EP - 99
DO - 10.5220/0013170300003890
PB - SciTePress