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Multi-View Facial Expressions Analysis of Autistic Children in Social Play

文献类型：期刊论文

作者Zeng, Jiabei1,2; Yuan, Yujian1,2; Qu, Lu3; Chang, Fei1,2,4; Sun, Xuran1,2; Gong, Jinqiuyu2; Han, Xuling5; Liu, Min3,5; Zhao, Hang5; Liu, Qiaoyun3,5
刊名IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
出版日期2025-07-01
卷号16期号:3页码:2200-2214
关键词Face recognition Autism Faces Feature extraction Cameras Accuracy Pediatrics Complexity theory Software Magnetic heads Multi-view facial expression recognition facial expression quantification facial expression analysis autism spectrum disorder assessment multi-scale entropy
ISSN号1949-3045
DOI10.1109/TAFFC.2025.3557458
英文摘要Atypical facial expressions during interaction are among the early symptoms of autism spectrum disorder (ASD) and are included in standard diagnostic assessments. However, current methods rely on subjective human judgments, introducing bias and limiting objectivity. This paper proposes an automated framework for objective and quantitative assessment of autistic children's facial expressions during social play. Initially, we utilize four synchronized cameras to record interactions between ASD children and teachers during structured activities dominated by the teacher. To address challenges posed by head movements and occluded faces, we introduce a multi-view facial expression recognition strategy. Its effectiveness is demonstrated by experiments in real-world applications. To quantify the patterns of affect status and the dynamic complexity of facial expressions, we use the temporally accumulated distribution of the basic facial expressions and the multi-dimensional multi-scale entropy of the facial expression sequence. Analysis of these features revealed significant differences between ASD and TD groups. Experimental results, derived from our quantified features, confirm conclusions drawn from previous research and experiential observations. With these facial expression features, ASD and typically developing (TD) children are accurately classified (accuracy 92.1%, precision 94.4%, 89.5% sensitivity, 94.7% specificity) in empirical experiments, suggesting the potential of our framework for improved ASD assessment.
资助项目National Natural Science Foundation of China[62176248] ; Science Foundation of the Shanghai Education Commission: Major Program[2023SKZD07] ; China Postdoctoral Science Foundation[2023M731103]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001566959000024
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/41718]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Qiaoyun; Shan, Shiguang
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
3.East China Normal Univ, Shanghai Inst Artificial Intelligence Educ, Shanghai 200062, Peoples R China
4.Pengcheng Lab, Shenzhen 518055, Guangdong, Peoples R China
5.East China Normal Univ, Dept Rehabil Sci, Shanghai 200062, Peoples R China
推荐引用方式
GB/T 7714		 Zeng, Jiabei,Yuan, Yujian,Qu, Lu,et al. Multi-View Facial Expressions Analysis of Autistic Children in Social Play[J]. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,2025,16(3):2200-2214.
APA Zeng, Jiabei.,Yuan, Yujian.,Qu, Lu.,Chang, Fei.,Sun, Xuran.,...&Chen, Xilin.(2025).Multi-View Facial Expressions Analysis of Autistic Children in Social Play.IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,16(3),2200-2214.
MLA Zeng, Jiabei,et al."Multi-View Facial Expressions Analysis of Autistic Children in Social Play".IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 16.3(2025):2200-2214.

入库方式： OAI收割

来源：计算技术研究所

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