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- Migita Ryo
- Graduate School of Engineering, Hiroshima University
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- Shimatani Koji
- Departmen of Physical Therapy, Prefectural University of Hiroshima
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- Shibanoki Taro
- Department of Computer and Information Sciences, Ibaraki University
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- Kurita Yuichi
- Graduate School of Engineering, Hiroshima University
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- Shima Keisuke
- Faculty of Engineering, Yokohama National University
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- Tsuji Toshio
- Graduate School of Engineering, Hiroshima University
Bibliographic Information
- Other Title
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- 動画像解析に基づく乳幼児行動マーカーレスモニタリングシステム
- ドウガゾウ カイセキ ニ モトズク ニュウヨウジ コウドウ マーカーレスモニタリング システム
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Abstract
This paper proposes a behavior analysis system for quantitative evaluation of infants with attention deficit hyperactivity disorder (ADHD) using video images. The system records infantsʼ movements using video cameras without any markers, and quantitatively evaluates each infantʼs behavior using features extracted from video images based on the behavior model. In the experiments performed, behaviors of infants in nursery school were evaluated using the proposed system. The results showed that the behavior of a high-risk infant significantly different from those of normal infants. These outcomes indicated that the proposed system could discriminate the behavior of normal infants and high-risk infants.
Journal
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- Japan Journal of Human Growth and Development Research
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Japan Journal of Human Growth and Development Research 2014 (65), 1-7, 2014
Japan Society of Human Growth and Development
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Details 詳細情報について
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- CRID
- 1390001205283169024
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- NII Article ID
- 130004950742
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- NII Book ID
- AA11280061
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- ISSN
- 1884359X
- 13408682
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- NDL BIB ID
- 025953065
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed