MISC

2017年

相同化に基づく位相差補正を用いた主成分分析による歩行の特徴抽出

ロボティクス・メカトロニクス講演会講演概要集
  • 中村 陽子
  • ,
  • 澤留 朗
  • ,
  • 多田 充徳
  • ,
  • 小林 吉之
  • ,
  • 竹村 裕

2017
0
開始ページ
1P1
終了ページ
P07
記述言語
日本語
掲載種別
出版者・発行元
一般社団法人 日本機械学会

<p>We introduced phase alignment procedure, warping method and proposed homologous analysis for time-series gait data. From this analysis, we revealed the principal features including phase and time variations, while the conventional PCA handled phase variations as amplitude variations. The different gait patterns with extracted features were reconstructed and simulated at heel contact and toe off by FEM. The results showed the difference in plantar pressure and contact area, according to the change of joint angle not to foot shape or property. Our proposed method can analyze the phase and amplitude variations. Moreover, that can reveal the kinetic features for characteristic gait pattern with kinematic features.</p>

リンク情報
CiNii Articles
http://ci.nii.ac.jp/naid/130006220550
CiNii Resolver ID
http://ci.nii.ac.jp/nrid/9000375889838

エクスポート
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