社会的支援ロボットによる感情サポートの技術的アプローチ
Socially Assistive Robots: A Technological Approach to Emotional Support
Lego MindstormsとRaspberry Pi 4を用いて、表情認識とジェスチャー分析で人の悲しみを検知し、抱擁やAI対話で共感的に応答する感情支援ロボットを開発した研究。
著者: Leanne Oon Hui Yee, Siew Sui Fun, Thit Sar Zin, Zar Nie Aung, Kian Meng Yap, Jiehan Teoh
分類: cs.RO, cs.HC
原文アブストラクト
In today's high-pressure and isolated society, the demand for emotional support has surged, necessitating innovative solutions. Socially Assistive Robots (SARs) offer a technological approach to providing emotional assistance by leveraging advanced robotics, artificial intelligence, and sensor technologies. This study explores the development of an emotional support robot designed to detect and respond to human emotions, particularly sadness, through facial recognition and gesture analysis. Utilising the Lego Mindstorms Robotic Kit, Raspberry Pi 4, and various Python libraries, the robot is capable of delivering empathetic interactions, including comforting hugs and AI-generated conversations. Experimental findings highlight the robot's effective facial recognition accuracy, user interaction, and hug feedback mechanisms. These results demonstrate the feasibility of using SARs for emotional support, showcasing their potential features and functions. This research underscores the promise of SARs in providing innovative emotional assistance and enhancing human-robot interaction.