The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …

Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …

Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously
difficult to diagnose, especially in children. The current psychiatric diagnostic process is …

Clinical research in autism has recently witnessed promising digital phenotyping results,
mainly focused on single feature extraction, such as gaze, head turn on name-calling or …

Abstract Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often
accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and …

Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

Autism spectrum disorder is a severe, life‐prolonged neurodevelopmental disease typified
by disabilities that are chronic or limited in the development of socio‐communication skills …

Medical diagnosis supported by computer-assisted technologies is getting more popularity
and acceptance among medical society. In this paper, we propose a non-intrusive vision …

Activity recognition computer vision algorithms can be used to detect the presence of autism-
related behaviors, including what are termed “restricted and repetitive behaviors”, or …

Background A formal autism diagnosis can be an inefficient and lengthy process. Families
may wait several months or longer before receiving a diagnosis for their child despite …