Dynamic Facial Recognition in Autism: The Case of Happy Face Expression

M. B. Almourad, Emad Bataineh, Zelal Wattar
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Abstract

Through the use of eye tracking equipment, this study compares the behavior and gaze patterns of persons who have autism (AP) and participants who are typically developing (ND). Participants in the experiment are given access to a video with a happy face expression. The participants' gaze patterns are recorded and tracked using eye tracking technology. We discovered a substantial difference in both participant groups' visual behavior through heat map analysis, primarily in the stimulus's area of interest. The eyes and mouth area of a happy face expression received minimal attention from AP, who were primarily interested in non-facial regions. On the other hand, the happy face stimuli's mouth and eyes catch the attention of ND individuals. These findings can be used to create new techniques for early ASD detection and for enhancing the skills and abilities of autistic children.
自闭症的动态面部识别:以快乐面部表情为例
通过使用眼动追踪设备,本研究比较了自闭症患者(AP)和正常发育者(ND)的行为和凝视模式。实验参与者被要求观看一段带有快乐表情的视频。使用眼动追踪技术记录和追踪参与者的注视模式。通过热图分析,我们发现两组参与者的视觉行为有很大的不同,主要是在刺激感兴趣的区域。快乐面部表情的眼睛和嘴巴区域受到AP的关注最少,他们主要对非面部区域感兴趣。另一方面,笑脸刺激的嘴和眼睛吸引了ND个体的注意。这些发现可以用来创造早期ASD检测的新技术,并提高自闭症儿童的技能和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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