Detecting risk-markers in children in a preschool classroom

Conference Paper

Early intervention in mental disorders can dramatically increase an individual's quality of life. Additionally, when symptoms of mental illness appear in childhood or adolescence, they represent the later stages of a process that began years earlier. One goal of psychiatric research is to identify risk-markers: genetic, neural, behavioral and/or social deviations that indicate elevated risk of a particular mental disorder. Ideally, screening of risk-markers should occur in a community setting, and not a clinical setting which may be time-consuming and resource-intensive. Given this situation, a system for automatically detecting risk-markers in children would be highly valuable. In this paper, we describe such a system that has been installed at the Shirley G. Moore Lab School, a research pre-school at the University of Minnesota. This system consists of multiple RGB+D sensors and is able to detect children and adults in the classroom, tracking them as they move around the room. We use the tracking results to extract high-level information about the behavior and social interaction of children, that can then be used to screen for early signs of mental disorders. © 2012 IEEE.

Full Text

Duke Authors

Cited Authors

  • Fasching, J; Walczak, N; Sivalingam, R; Cullen, K; Murphy, B; Sapiro, G; Morellas, V; Papanikolopoulos, N

Published Date

  • December 1, 2012

Published In

Start / End Page

  • 1010 - 1016

Electronic International Standard Serial Number (EISSN)

  • 2153-0866

International Standard Serial Number (ISSN)

  • 2153-0858

International Standard Book Number 13 (ISBN-13)

  • 9781467317375

Digital Object Identifier (DOI)

  • 10.1109/IROS.2012.6385732

Citation Source

  • Scopus