シンポジウム: スポーツ・アンド・ヒューマン・ダイナミクス講演論文集
Online ISSN : 2432-9509
セッションID: A-19
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慣性センサを用いた競技用自転車の3次元動作計測
内田 和男高尾 浩二武田 靖正
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会議録・要旨集 フリー

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In order to measure the kinematics of racing bicycle in indoor track, extended Kalman filter method was implemented. Bicycle model was modeled as symbolic formula by using variables considering the road-tire contact condition and the 3 dimensional track shape. Measurement function is derived as symbolic formula by the variables. To verify the Kalman filter system, simulation data was used as measured data and filter was tried by 9 noise parameter sets. It found to be that The filter could reproduced the true motion with an error within a problem-free range under valid noise parameter setting.

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