Wearable sensors are already impacting healthcare and medicine by enabling health
monitoring outside of the clinic and prediction of health events. This paper reviews current …

The new field of" Computational Ethology" is made possible by advances in technology,
mathematics, and engineering that allow scientists to automate the measurement and the …

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 …

We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …

Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …

Work integrating conversations around AI and Disability is vital and valued, particularly
when done through a lens of fairness. Yet at the same time, analysing the ethical …

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 …

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

To demonstrate the capability of computer vision analysis to detect atypical orienting and
attention behaviors in toddlers with autism spectrum disorder. One hundered and four …

Current tools for objectively measuring young children's observed behaviors are expensive,
time-consuming, and require extensive training and professional administration. The lack of …