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Multi-View Analysis of Facial Expressions in Minimally Verbal Autism: Preliminary Evidence From Social Communication Observations

  • Lu Qu*
  • , Tongxin Yin
  • , Jiabei Zeng
  • , Yuqi Zhang
  • , Xuling Han
  • , Min Liu
  • , Fei Chang
  • , Yujian Yuan
  • , Shiguang Shan
  • , Hang Zhao
  • , Qiaoyun Liu*
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • East China Normal University
  • CAS - Institute of Computing Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Purpose: Minimally verbal children with autism spectrum disorder (ASD) face profound challenges in social-emotional communication, but objective methods to quantify their facial expression patterns remain limited. This study applied an automated multi-view facial expression recognition (mFER) approach to examine the frequency, synchrony, and social directedness of facial expressions in minimally verbal children with ASD. Methods: Fifty-two children aged 3–6 years participated: 18 with ASD, 17 with global developmental delay (GDD), and 17 typically developing (TD) peers. Children engaged in the Smart Observation for Social Communication (SOSC), a series of semi-structured, interaction-based activities adapted from the ADOS-2. Four synchronized cameras captured facial expressions, which were analyzed using a multi-view computer vision analysis. Results: Compared with TD peers, the ASD group showed a higher probability of Neutral and Sad expressions and a lower probability of Happiness. These group differences were context-specific, with reduced positive affect during playful interactive activities (e.g., Peekaboo) and increased Sadness during task-based activities (e.g., Puzzle). Children with ASD showed lower facial expression synchrony with the examiner and fewer socially directed expressions. Facial expression features were significantly associated with standardized measures of adaptive functioning and autism symptom severity. Conclusion: Integrating the Smart Observation for Social Communication system with multi-view facial expression analysis revealed that children with ASD exhibit context-specific increases in neutral and sad facial expression alongside reduced happiness, synchrony, and socially directed expressions. These clinically valuable features correlated significantly with standardized diagnostic scores, demonstrating the framework’s potential for objective diagnostic complement and outcome monitoring in minimally verbal autism.

Original languageEnglish
JournalJournal of Autism and Developmental Disorders
DOIs
StateAccepted/In press - 2026

Keywords

  • Autism; Facial expression
  • Computer vision
  • Minimally verbal autism

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