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Updated: Feb 15, 2026

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

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ディープラーニングと合成データセットを用いた単一の慣性測定単位から人間の歩行運動と運動学を予測する: ブラインド評価試験

Metin Bicer1, Andrew Tm Phillips2, Oğuz Faik Seven3

  • 1Department of Civil and Environmental Engineering, Imperial College London, London, UK; Institute of Informatics, Hacettepe University, Ankara, Türkiye; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Journal of biomechanics
|February 13, 2026
PubMed
まとめ

シミュレートされた慣性測定ユニット (IMU) のデータで訓練されたニューラルネットワーク (NN) は,関節の動きをうまく予測しますが,実際の性能には微調整が必要です. 実際のIMUデータによるブラインドテストと再訓練は,正確な生体力学アプリケーションに不可欠です.

キーワード:
盲目評価による評価です.歩き方 歩き方 歩き方 歩き方慣性測定単位で測定する.合成モカップのデータセット

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