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Analysis of Nursery School Observations for Understanding Children’s Behavior

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Health Information Science (HIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7231))

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Abstract

This paper introduces an on-going project with the goal of measuring and analyzing children’s behavior automatically. Some key technologies, including methodologies for acquiring data, tracking a target across different cameras over time, activity recognition, interaction analysis, and behavior summarization for a target child are presented. Some encouraging results from a real system we developed in a nursery school environment are also described. As these technologies enable the content-based retrieval, comparison, and summarization of large-scale observational data, they are applicable to various purposes, such as the assessment of children’s development, healthcare and diagnosis.

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Author information

Authors and Affiliations

  1. Dept. of Systems and Social Informatics Graduate School of Information Science, Nagoya University, Nagoya, Japan

    Jien Kato & Yu Wang

Authors
  1. Jien Kato
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  2. Yu Wang
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Editor information

Editors and Affiliations

  1. Victoria University, Melbourne, Australia

    Jing He

  2. School of Information Systems, Computing and Mathematics, Centre for Intelligent Data Analysis, Brunel University, St. John’s 103, UB8 3PH, London, UK

    Xiaohui Liu

  3. Departments of Radiology and Psychology, The University of Arizona, 1609 N. Campbell Avenue, 85724, Tucson, AZ, USA

    Elizabeth A. Krupinski

  4. Faculty of Health, Engineering and Science, School of Engineering and Science, Centre for Applied Informatics, Victoria University, Ballarat Road, Footscray, 8001, Melbourne City, VIC, Australia

    Guandong Xu

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kato, J., Wang, Y. (2012). Analysis of Nursery School Observations for Understanding Children’s Behavior. In: He, J., Liu, X., Krupinski, E.A., Xu, G. (eds) Health Information Science. HIS 2012. Lecture Notes in Computer Science, vol 7231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29361-0_18

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  • DOI: https://doi.org/10.1007/978-3-642-29361-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29360-3

  • Online ISBN: 978-3-642-29361-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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