UnLocking Emotion Recognition in ASD Children: Analyzing Facial Expressions

Abstract

Children with Autism Spectrum Disorder (ASD) often
face challenges in understanding and expressing emotions, which
can hinder their social interactions and emotional de- velopment.
This paper presents a study on using technology for emotion
recognition in children with Autism Spectrum Disorder (ASD).
We collect facial expression data from ASD children during
different emotional states and apply machine learning to
accurately identify emotions. Our results show high accuracy,
indicating the potential for non-invasive, technology- based
emotional support and intervention for ASD children. This
research emphasizes the importance of multidimensional data in
understanding emotions in ASD and offers promising prospects
for personalized interventions.