用机器人识别情绪并给予拥抱和对话支持。
Socially Assistive Robots: A Technological Approach to Emotional Support
- 基于视觉与手势分析识别用户悲伤情绪。
- 实验显示机器人面部识别准确，交互反馈良好。
- 适合关注情感陪伴与人机交互的开发者。
在高压与孤独感加剧的现代社会，情感支持需求激增，亟需创新解决方案。社交助手机器人（SARs）通过先进机器人技术、人工智能与传感器融合，提供情感辅助。本研究设计一款能检测并回应人类情绪（尤其是悲伤）的助手机器人，利用Lego Mindstorms机器人套件、Raspberry Pi 4及多种Python库，实现面部识别、手势分析，并支持安抚性拥抱与由AI生成的对话。实验结果表明，该机器人在面部识别准确性、用户互动响应及拥抱反馈机制方面表现良好。研究验证了SARs在情感支持中的可行性，展示了其潜在功能与应用前景，凸显其在提升人机交互体验方面的潜力。
原文摘要 · Abstract (English)
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.
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