Multi-face emotion detection for effective Human-Robot Interaction

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

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arXiv · 2501.07213

Multi-face emotion detection for effective Human-Robot Interaction

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

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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.

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Mohamed Ala Yahyaoui, Mouaad Oujabour, Leila Ben Letaifa, Amine Bohi. 2025-01-13. Multi-face emotion detection for effective Human-Robot Interaction. https://arxiv.org/abs/2501.07213

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