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  1. 学位論文
  2. 博士論文
  3. 学位授与年月日:2020.09.24

Study on Similarity Measure of Human Body Motion

http://hdl.handle.net/10212/2603
http://hdl.handle.net/10212/2603
2efa6434-ab9d-4274-9524-8f082fe3a0a0
名前 / ファイル ライセンス アクション
D1-0974_h1.pdf 全文 (5.2 MB)
D1-0974.pdf 内容・審査結果の要旨 (124.6 KB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2024-01-18
タイトル
タイトル Study on Similarity Measure of Human Body Motion
言語 en
その他のタイトル
その他のタイトル 身体動作の類似度に関する研究
言語 ja
作成者 ファム トゥ ハゥム ナン

× ファム トゥ ハゥム ナン

en PHAM TRUONG HONG NGAN

ja ファム トゥ ハゥム ナン

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
主題
言語 en
主題Scheme Other
主題 Non-model-based
主題
言語 en
主題Scheme Other
主題 dissimilarity
主題
言語 en
主題Scheme Other
主題 3D chain code
主題
言語 en
主題Scheme Other
主題 pause
主題
言語 en
主題Scheme Other
主題 spatial quantization
内容記述
内容記述タイプ Abstract
内容記述 The study introduces non-model-based approaches for measuring the similarity of human body motions through measuring the dissimilarity of marker trajectories in human body motions. The proposed methods in the research are independent of the biological characteristics of the human body. In general terms, the human body motion generates three-dimensional (3D) curves representing the direction changes of marker trajectories. The first or original method is based on the dissimilarity measure for 3D curves. In detail, the dissimilarity of human body motions is estimated by applying the dissimilarity measure of the 3D curves for the dissimilarity of 3D curves representing the trajectories of markers and is implemented in five steps. Firstly, the motion speed is adjusted. Next, human postures in motion are normalized. Then, motion paths of markers are represented by direction sequences. After that, chain codes of direction sequences are obtained. Finally, the dissimilarity of human body movements is calculated based on the obtained chain codes. The roles of markers in motion are also taken into account. In addition, two options of the spatial quantization method for the human active space in a body motion based on the Space Harmony Theory is also mentioned. In order to reduce the conducted time of the original method, the extended method to calculate the dissimilarity of human body motions through sub-motions is also proposed. In the extended method, two options of the pause derivation method for a human body motion are introduced. Human body motions are split into sub-motions by using the pause waveforms obtaining from the pause derivation method. Because the sub-motions are considered as new motions, the dissimilarity of sub-motions can be calculated by using the original method. Both the original method and the extended method are experimentally evaluated by using the statistical test. Experimental results proved that both two methods are effective in the estimation of dissimilarity of the human body motions with the appropriate Split value. The result shows that the extended method improved the conducted time and can be used in real-time applications. Furthermore, the first option of the extended method is effective in enhancing the performing time. The proposed methods are proved effective in measuring the similarity of human body motions.
言語 en
日付
日付 2020-09-24
日付タイプ Issued
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_db06
資源タイプ doctoral thesis
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
学位授与番号
学位授与番号 甲第974号
学位名
言語 ja
学位名 博士(工学)
学位授与年月日
学位授与年月日 2020-09-24
学位授与機関
学位授与機関識別子Scheme kakenhi
学位授与機関識別子 14303
言語 ja
学位授与機関名 京都工芸繊維大学
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