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Authors: Ana B. Graciano Fouquier 1 ; Séverine Dubuisson 1 ; Isabelle Bloch 2 and Anja Klöeckner 1

Affiliations: 1 Sorbonne Universités, UPMC Univ Paris 06, France ; 2 Institut Mines-Telecom, Telecom ParisTech, France

Keyword(s): Video Analysis, Behavioral Imaging, Autism Spectrum Disorders, Sensorimotor Assessment.

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 behavior information from the available visual data acquired throughout assessment sessions.

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Paper citation in several formats:
B. Graciano Fouquier, A. ; Dubuisson, S. ; Bloch, I. and Klöeckner, A. (2014). Towards Automated Video Analysis of Sensorimotor Assessment Data. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 735-740. DOI: 10.5220/0004912307350740

@conference{icpram14,
author={Ana {B. Graciano Fouquier} and Séverine Dubuisson and Isabelle Bloch and Anja Klöeckner},
title={Towards Automated Video Analysis of Sensorimotor Assessment Data},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={735-740},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004912307350740},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Towards Automated Video Analysis of Sensorimotor Assessment Data
SN - 978-989-758-018-5
IS - 2184-4313
AU - B. Graciano Fouquier, A.
AU - Dubuisson, S.
AU - Bloch, I.
AU - Klöeckner, A.
PY - 2014
SP - 735
EP - 740
DO - 10.5220/0004912307350740
PB - SciTePress

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