テーブルテニスのフォアハンドストロークのバイオメカニカル定量化のためのMediaPipeベースのフレームワークの開発
Yuanyuan Lyu1, Xiaoling Duan2, Chen Yang1
1School of Sport and Health Science, Nanjing Sport Institute, Nanjing, China.
Frontiers in sports and active living
|September 2, 2025
まとめ
テーブルテニスのフォアハンドストロックは,腕と回転の動きを増やすことで最適化されます. この研究は,軽量診断のための重要な生体力学的パラメータを定量化し, 14.3年までのボール速度の年齢の影響を示しています.
科学分野:
- バイオメカニクス
- スポーツ科学
- 人間 移動 の 分析
背景:
- 卓球は,最適なパフォーマンスを得るために正確なテクニックを必要とします.
- 現在の診断手段は 面倒で高価です
- アクセシブルな分析のために,軽量で単一のカメラのソリューションが必要です.
研究 の 目的:
- テーブルテニスのフォアハンドストロークの間,身体のセグメント間の運動関係を定量化します.
- 単一カメラベースの軽量診断のための解釈可能なメトリックを開発する.
- ボールの速度と相関する生体力学的パラメータを特定する.
主な方法:
- 34人の女性卓球選手 (年齢9.1~21.7歳) を分析した.
- 速度,角度,角速度を抽出するために位置時間シリーズ分析のために MediaPipe を使用します.
- 運動とボールの速度を結びつけるために,対象内および対象間相関係数を計算します.
主要な成果:
- ボールの速度の増加は,より大きな線形腕運動 (肩,肘,手首) と回転運動 (上腕,肩線,股関節線) と相関する.
- 過剰な逆側肩の屈折/伸縮とプレーサイドの肘の屈折/伸縮 ボールの速度が低下した.
- ボールの速度は14.3歳まで増加し,その後平準化しました.
結論:
- テーブルテニスの効率的な生体力学分析を可能にする MediaPipe ベースのフレームワークです.
- このアプローチは,軽量でリアルタイムな分析ソリューションのための有望な基盤を提供します.
- 特定された重要な運動パラメータは,コーチングとプレーヤーの発達に情報を与えることができます.
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