Ontology highlight
ABSTRACT: Background
Several studies have shown that facial attention differs in children with autism. Measuring eye gaze and emotion recognition in children with autism is challenging, as standard clinical assessments must be delivered in clinical settings by a trained clinician. Wearable technologies may be able to bring eye gaze and emotion recognition into natural social interactions and settings.Objective
This study aimed to test: (1) the feasibility of tracking gaze using wearable smart glasses during a facial expression recognition task and (2) the ability of these gaze-tracking data, together with facial expression recognition responses, to distinguish children with autism from neurotypical controls (NCs).Methods
We compared the eye gaze and emotion recognition patter
SUBMITTER: Nag A
PROVIDER: S-EPMC7203617 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature