Corpus ID: 1931860

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

@article{Hashemi2012ComputerVT,
  title={Computer vision tools for the non-invasive assessment of autism-related behavioral markers},
  author={Jordan Hashemi and Thiago Vallin Spina and Mariano Tepper and Amy N Esler and Vassilios Morellas and Nikolaos Papanikolopoulos and Guillermo Sapiro},
  journal={ArXiv},
  year={2012},
  volume={abs/1210.7014}
}
The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be observed late in the first year of life. Many of these studies involved extensive frame-by-frame video observation and analysis of a child's natural behavior. Although non-intrusive, these methods are extremely time-intensive and require a high level of observer… Expand
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