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Updated: Sep 10, 2025

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二次元歩行分析のためのダブルクォーターニオンベースの前向きと逆向きの運動学
Rodolfo Vergara-Hernandez1, Juan-Carlos Gonzalez-Islas1, Omar-Arturo Dominguez-Ramirez1
1Basic Sciences and Engineering Institute, Autonomous University of the State of Hidalgo, Pachuca 42184, Hidalgo, Mexico.
Journal of functional morphology and kinesiology
|August 22, 2025
まとめ
この研究は,2次元歩行分析のための新しい枠組みを導入し,クォーターニオンベースの運動モデリングを使用して,関節変数を正確に推定し,奇点を回避します. この方法は様々な歩行パターンの 下肢の姿勢と関節の角度を効果的に計算します
科学分野:
- バイオメカニクス
- ロボット
- 計算機動力学
背景:
- 歩行中の関節の角度とセグメントの動きを分析します
- 現存する歩行分析方法は 精度,奇異性,モデリングの複雑さで 課題に直面しています
- クアテニオンベースの運動モデリングは 歩行分析の強化のための潜在的な解決策を提供します.
研究 の 目的:
- クォーターニオンベースの運動モデリングを用いた2D歩行分析フレームワークを提案する.
- 共同変数の推定における特異点に対処し,克服する.
- 歩行分析の精度を向上させるため
主な方法:
- 前方運動 (FK) のための二重四次元の組成を使用した.
- 逆動力学 (IK) のジャコビアン法 (DLS) を採用した.
- 通常の歩行パターン,足首歩行パターン,ヒール歩行パターンで,RMSE (ルーツ・ミーン・スクエア・エラー) を用いて評価した.
主要な成果:
- 提案されたFKとIK方法は,3度の自由度 (DoF) の下肢運動鎖の姿勢と関節の角度を正確に計算した.
- 様々な歩行パターンの有効性を証明した.
- 運動分析におけるクォーターニオンベースのモデリングの精度を検証した.
結論:
- 開発されたフレームワークは,2D歩行分析に正確で奇異性のないアプローチを提供します.
- 人間の全身を含むより複雑な運動連鎖をモデル化するための拡張の可能性.
- 病気の診断とパフォーマンスの評価における臨床歩行分析に適用できます.
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