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Affective face processing analysis in autism using electroencephalogram

机译:脑电图自闭症中的情感面处理分析

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Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions.
机译:过去的心理学领域的研究表明,自闭症谱系障碍(ASD)患者无法解释别人的情感。 这种损害是由于它们在沟通期间缺乏社会动机和眼神接触,导致大脑的信息不足以解释情绪面孔。 本文调查人类脑波,了解亚育育童的情感脸部加工。 模式分类结果是基于二维情绪模型解释的。 二维模型在令人愉悦/令人不快(或价值)和强度(或唤醒)方面解释了人类的情绪。 分析结果表明,非自闭症组的情绪被改变为匹配当前显示在计算机监视器上的情感面。 然而,随着儿童的情感动态表明了在观看情绪相关的面部表情时逆转价值的趋势。

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