Dynamic Facial Recognition in Autism: The Case of Happy Face Expression
Source of Publication
2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)
Through the use of eye tracking equipment, this study compares the behavior and gaze patterns of persons who have autism (AP) and participants who are typically developing (ND). Participants in the experiment are given access to a video with a happy face expression. The participants' gaze patterns are recorded and tracked using eye tracking technology. We discovered a substantial difference in both participant groups' visual behavior through heat map analysis, primarily in the stimulus's area of interest. The eyes and mouth area of a happy face expression received minimal attention from AP, who were primarily interested in non-facial regions. On the other hand, the happy face stimuli's mouth and eyes catch the attention of ND individuals. These findings can be used to create new techniques for early ASD detection and for enhancing the skills and abilities of autistic children.
Heating systems, Computer science, Autism, Visualization, Analytical models, Face recognition, Computational modeling
Almourad, Mohamed Basel; Bataineh, Emad; and Wattar, Zelal, "Dynamic Facial Recognition in Autism: The Case of Happy Face Expression" (2022). All Works. 5582.
Indexed in Scopus