Analysis of Head Mounted Wireless Camera Videos for Early Diagnosis of Autism

In this paper we present a computer based approach to analysis of social interaction experiments for the diagnosis of autism spectrum disorders in young children of 6-18 months of age. We apply face detection on videos from a head-mounted wireless camera to measure the time a child spends looking at people. In-Plane rotation invariant Face Detection is used to detect faces from the diverse directions of the children’s head. Skin color detection is used to render the system more robust to cluttered environments and to the poor quality of the video recording.


Editor(s):
Zolnierek, Andrej
Wozniak, Michal
Puchala, Edward
Kurzynski, Marek
Published in:
Computer Recognition Systems, 2, 1, 663-670
Presented at:
International Conference on Recognition Systems, Wroclaw (Poland), 2007
Year:
2007
Publisher:
Berlin, Springer-Verlag
Keywords:
Note:
Awarded a Best Presentation distinction to Basilio Noris
Laboratories:




 Record created 2008-02-25, last modified 2018-01-28

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