Toward Extraction of Individual Characteristics from the Inertial Sensors data of Walking Motion by Singular Value Decomposition
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- TAKAHASHI Hirotaka
- Department of Information and Management Systems Engineering, Nagaoka University of Technology
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- KAMIO Ikumi
- Department of Information and Management Systems Engineering, Nagaoka University of Technology
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- AKIDUKI Takuma
- Department of Mechanical Engineering, Toyohashi University of Technology
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- ZHANG Zhong
- Department of Mechanical Engineering, Toyohashi University of Technology
Bibliographic Information
- Other Title
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- 特異値分解による個人特徴抽出とその物理的意味検討のためのセンサ寄与の把握
- トクイチ ブンカイ ニ ヨル コジン トクチョウ チュウシュツ ト ソノ ブツリテキ イミ ケントウ ノ タメ ノ センサ キヨ ノ ハアク
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Abstract
<p>In our previous researches, we discussed a method based on of extracting both of a similarities/style and differences/characteristic component from walking motions using four wearable motion sensors. This method suggested that data with segmented walking motion could be used to identify individuals. However, we did not discuss the physical meanings of the similarities/style and differences/characteristic components of a subject from the walking data. In this paper, we discuss a method of determining which segment data contributes to the similarities/style and differences/characteristic components, toward the understanding of the physical meanings of the similarities/style and differences/characteristic components of a subject from the walking data.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 31 (1), 603-607, 2019-02-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details
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- CRID
- 1390845713053591296
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- NII Article ID
- 130007595844
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 029528988
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed