Multi-face emotion detection for effective Human-Robot Interaction

• URL: http://arxiv.org/abs/2501.07213v1
• Date: Mon, 13 Jan 2025 11:12:47 GMT
• Title: Multi-face emotion detection for effective Human-Robot Interaction
• Authors: Mohamed Ala Yahyaoui, Mouaad Oujabour, Leila Ben Letaifa, Amine Bohi,
• Abstract summary: This research proposes a facial emotion detection interface integrated into a mobile humanoid robot. Various deep neural network models for facial expression recognition were developed and evaluated.
• Score: 0.0
• License:
• 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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