认知能力评估的注视驱动交互系统

Hanlin Zhang, Xinming Wang, Weihong Ren, Yuchen Zhao, Qingcai Chen, Jingyong Su, Junjie Chen, Honghai Liu
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引用次数: 0

摘要

自闭症谱系障碍(Autism Spectrum Disorder, ASD)是一种神经发育障碍,通常发现于儿童期,临床表现为社交障碍、刻板行为、兴趣狭隘等。认知能力不全是导致自闭症儿童社交障碍的原因之一。因此,评估自闭症儿童的认知能力并为后续的干预方案提供指导是至关重要的。在这项工作中,我们提出了一个凝视驱动的交互系统,评估受试者的认知表现。基于我们的范例,包含特定图片、视频和游戏的界面将创造主体与系统之间的互动纽带。在评估过程中,通过捕捉被试的注视特征,推导出认知能力指标,用以判断被试的认知程度。结果表明,我们的系统可以评估从颜色、形状、情感到社会关系的认知能力,为后续个性化干预方案的制定提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaze-driven Interaction System for Cognitive Ability Assessment
Autism Spectrum Disorder (ASD), usually discovered in childhood, is a neurodevelopmental disorder with clinical manifestations like social communication disorders, stereotyped behaviors, and narrow interests. Incomplete cognitive ability is one reason that causes social communication disorders among autistic children. Therefore, it is critical to evaluate the cognitive abilities of autistic children and provide guidance for subsequent intervention programs. In this work, we present a gaze-driven interaction system, assessing the cognitive performance of the subject. Based on our paradigms, an interface that contains specific pictures, videos and games creates a bond of interaction between subjects and the system. During the assessment process, the gaze features of subjects will be captured for deducing a cognitive ability index, which is used for judging the degree of cognition. The result shows that our system can evaluate the cognitive ability ranging from colors, shapes, emotions to social relationships, and provide guidance for the formulation of follow-up personalized intervention programs.
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