Towards Automated Video Analysis of Sensorimotor Assessment Data

Abstract

Sensorimotor assessment aims at evaluating sensorial and motor capabilities of children who are likely to present a pervasive developmental disorder, such as autism. It relies on playful activities which are proposed by a psychomotrician expert to the child, with the intent of observing how the latter responds to various physical and cognitive stimuli. Each session is recorded so that the psychomotrician can use the video as a support for reviewing in-session impressions and drawing final conclusions. These recordings carry a wealth of information that could be exploited for research purposes and contribute to a better understanding of autism spectrum disorders. However, the systematic inspection of these data by clinical professionals would be time-consuming and impracticable. In order to make these analyses feasible, we discuss a computer vision approach to prospect precise behavior information from the available visual data acquired throughout assessment sessions.