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A Linear Dynamic Affect-Expression Model: Facial Expressions According to Perceived Emotions in Mascot-Type Facial Robots

机译:线性动态影响表达式模型:根据吉祥物型面部机器人的情感表现形式

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It is expected that robots will be widely exposed to humans in the near future. Emotional communication is very important in human-robot interaction, as well as human-human interaction. Facial expression is an emotional expression method between humans, and it also enables human to recognize a robot's emotional state. Although there are lots of previous research regarding facial expressions, it is not easily applicable to different shapes of robot faces, if the number and types of the robot's control points are varied. In addition, the natural connection between emotions has not been considered or has been inefficiently implemented in previous research. In this paper, we propose a linear dynamic affect-expression model for continuous change of expression and diversifying characteristics of expressional changes. Therefore, the proposed model allows a robot's facial expression and expression changes to more closely resemble those of humans, and this model is applicable to various mascot-type robots irrespective of the number and types of robot's control points.
机译:预计机器人将在不久的将来广泛暴露在人类身上。情绪沟通在人体机器人互动以及人为人类互动中非常重要。面部表情是人类之间的情感表达方法,它也使人们能够认识到机器人的情绪状态。虽然有很多先前关于面部表情的研究,但如果机器人的控制点的数量和类型变化,则不容易适用于不同形状的机器人面。此外,在以前的研究中,情绪之间的自然联系尚未考虑或效率低下。在本文中,我们提出了一种线性动态影响表达模型,用于连续改变表达和表达变化的多样化特征。因此,所提出的模型允许机器人的面部表情和表达变化更加紧密地类似于人类,而这种模型适用于各种吉祥物型机器人,而不管机器人的控制点的数量和类型。

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