校准我的微笑:机器人通过与人类互动学习面部表情

Dino Ilic, Ivana Žužić, D. Brscic
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引用次数: 3

摘要

社交机器人通常有表情丰富的面孔。然而,如何设计表达某种情感的表情并不总是很清楚。我们提出了一种社交机器人学习自己面部表情的情感含义的方法,在此基础上,它可以自动生成任何情感的脸。机器人从一个模仿游戏中收集数据,在这个游戏中,人类被要求模仿机器人的面部表情。交互的人不需要明确输入机器人面部的含义,因此交互是自然的。我们证明,人类可以成功地从习得的面部表情中识别出情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibrate My Smile: Robot Learning Its Facial Expressions through Interactive Play with Humans
Social robots often have expressive faces. However, it is not always clear how to design expressions that show a certain emotion. We present a method for a social robot to learn the emotional meaning of its own facial expressions, based on which it can automatically generate faces for any emotion. The robot collects data from an imitation game where humans are asked to mimic the robot's facial expression. The interacting person does not need to explicitly input the meaning of the robot's face so the interaction is natural. We show that humans can successfully recognise the emotions from the learned facial expressions.
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