Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children
Published inScientific reports, vol. 11, no. 1, 15069
Publication date2021-07-23
First online date2021-07-23
Abstract
Keywords
- Autism Spectrum Disorder / diagnosis
- Autism Spectrum Disorder / diagnostic imaging
- Autism Spectrum Disorder / physiopathology
- Child
- Child, Preschool
- Comprehension / physiology
- Eye-Tracking Technology
- Female
- Humans
- Infant
- Male
- Social Behavior
- Video Recording / methods
Research group
Funding
- Swiss National Science Foundation - NCCR 'SYNAPSY - The synaptic bases of mental diseases' (phase III) [185897]
- Swiss National Science Foundation - Measuring trajectories of cerebral development associated with autism in the first years of life [163859]
- Swiss National Science Foundation - Measuring trajectories of cerebral development associated with autism in the first years of life [190084]
- UNIGE - COINF2018 equipment grant
- SDG Solution Space -
- Fondation Pôle Autisme -
Citation (ISO format)
KOJOVIC, Nada et al. Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children. In: Scientific reports, 2021, vol. 11, n° 1, p. 15069. doi: 10.1038/s41598-021-94378-z
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
- PID : unige:168977
- DOI : 10.1038/s41598-021-94378-z
- PMID : 34301963
- PMCID : PMC8302646
Commercial URLhttps://www.nature.com/articles/s41598-021-94378-z
ISSN of the journal2045-2322