An AI-driven multimodal fusion and graph-temporal modelling framework for developmental assessment of social competence and emotional expression in preschool children

Key Points

• To assess social competence and emotional expression in preschool children using an AI-driven approach.
• Utilized an AI-driven multimodal fusion framework for data integration.
• Employed graph-temporal modelling to analyze developmental aspects.
• Focused on preschool-aged children for assessing emotional and social skills.
• AI-driven assessments showed improved accuracy in identifying emotional expression in preschoolers.
• Social competence scores increased significantly with the multimodal approach (p<0.05).
• Graph-temporal modelling revealed insights into developmental patterns over time.