Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder

arXiv:2404.05849v1 Announce Type: cross
Abstract: Autism Spectrum Disorder (ASD) presents significant challenges in early diagnosis and intervention, impacting children and their families. With prevalence rates rising, there is a critical need for accessible and efficient screening tools. Leveraging machine learning (ML) techniques, in particular Temporal Action Localization (TAL), holds promise for automating ASD screening. This paper introduces a self-attention based TAL model designed to identify ASD-related behaviors in infant videos. Unlike existing methods, our approach simplifies complex modeling and emphasizes …

abstract arxiv autism challenges children cs.cv cs.lg diagnosis families localization machine machine learning moments screening spectrum temporal tools type videos