人間とロボットの効果的なインタラクションのためのマルチ顔感情検出
Multi-face emotion detection for effective Human-Robot Interaction
移動型ヒューマノイドロボットに複数人の顔表情からリアルタイムで感情を認識するインターフェースを実装し、精度とメモリのトレードオフを考慮して評価した研究。
著者: Mohamed Ala Yahyaoui, Mouaad Oujabour, Leila Ben Letaifa, Amine Bohi
分類: cs.HC, cs.AI, cs.CV, cs.RO
原文アブストラクト
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.
