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Perception of Emotions from Static Postures (Extended Abstract)

机译:静态姿势对情感的感知(扩展摘要)

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摘要

Human synthetic characters in any computer simulated environment need to be capable of behaving the appropriate way of expressing emotion like normal human do. If the characters fail to express the suitable emotional expression, they will likely to break the users mood and belief. These imply that the key problem in designing synthetic characters is to make them believable in their overall behavior. Therefore the study was directed to construct human synthetic characters that can improve humans respond as well as identify intensity rating of emotions. Ekmans six emotional expressions [1], which are happiness, sadness, anger, surprise, fear and disgust were used because these basic emotions are clear, widely accepted and sufficient. An experiment was conducted to measure believable emotional expression from static images. Sets of virtual human static images of posed expressions of emotions were shown to the subjects. A total of 36 thirty-six volunteers (18 men and 18 women) took part in the experiment. The mean age was 29 years old. The subjects were asked to recognize the expressions by grouping them into six basic emotions and provide the level of emotion for each posture to study the intensity-rating tasks.
机译:在任何计算机模拟的环境中,人类的合成字符都必须能够像正常人一样表现出表达情感的适当方式。如果角色无法表达合适的情感表达,他们很可能会破坏用户的心情和信念。这些暗示设计合成字符的关键问题是使它们的整体行为可信。因此,本研究旨在构建可以改善人类反应并确定情绪强度等级的人类合成特征。埃克曼使用了六种情感表达[1],分别是幸福,悲伤,愤怒,惊奇,恐惧和厌恶,因为这些基本情感是清晰的,被广泛接受且足够的。进行了一项实验,从静态图像中测量可信的情感表达。向受试者展示了构成情绪表达的虚拟人体静态图像集。共有36名36名志愿者(18名男性和18名女性)参加了实验。平均年龄为29岁。要求受试者通过将表情分为六种基本情绪来识别表情,并提供每种姿势的情绪水平以研究强度评估任务。

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