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
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- 巻
- 2017
- 号
- 0
- 開始ページ
- 1P1
- 終了ページ
- P07
- 記述言語
- 日本語
- 掲載種別
- DOI
- 10.1299/jsmermd.2017.1P1-P07
- 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
- ID情報
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- DOI : 10.1299/jsmermd.2017.1P1-P07
- CiNii Articles ID : 130006220550
- identifiers.cinii_nr_id : 9000375889838