2013 Fiscal Year Final Research Report
Statistical modeling for human gait analysis based on field data
| Project/Area Number |
23650146
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | Chuo University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KONISHI Sadanori 中央大学, 理工学部, 教授 (40090550)
WATANABE Norio 中央大学, 理工学部, 教授 (10182940)
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| Project Period (FY) |
2011 – 2013
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| Keywords | gait analysis / statistical model |
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| Research Abstract |
In this study we studied the problem of analyzing and classifying frontal view human gait by registration and modeling on a video data. Firstly we created the statistical walking model with constant speed and succeeded in estimating parameters included in the gait models with the scale changing parameter and the speed parameter that indicates the speed of human walking. We also investigated the model and estimation accuracy with the motion capture system which gave us precise measurements of trajectories of moving objects. Our basic statistical gait model only includes two parameters of registration and speed and we can easily estimate the parameters from frontal view gait video data. Secondly, we extended this simple model to handle the speed changing and other human movement parameters. Collins et al. (2009) has reported that arm swing is an very important role in the gait motion based on the simple gait model. We considered the human gait modeling based Collins et al. (2009).
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[Presentation] 検索条件の共起関係に基づく物件推薦アルゴリズムに関する統計的研究2013
Author(s)
大草孝介, 阿部興, 内藤貴也, 山口直人, 加田拓磨, 黒田淑恵, 佐藤のぞみ, 日高明日香, 森健人, 鎌倉稔成
Organizer
日本計算機統計学会
Place of Presentation
弘前大学創立50周年記念会館, 青森県
Year and Date
20130516-17
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