THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS

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Athletes’ movement biomechanics are of high interest to predict injury risk. However, using a standard optical measurement set-up with cameras and force plates influences the athlete’s performance. Alternative systems such as commercial IMU systems are still jeopardised by measurement discrepancies in the analysis of joint angles. Therefore, this study aims to estimate hip, knee and ankle joint angles from simulated IMU data during the execution and depart contact of a maximum effort 90° cutting manoeuvre using a feed-forward neural network. Simulated accelerations and angular rates of the feet, shanks, thighs and pelvis as input data. The correlation coefficient between the measured and predicted data indicates strong correlations. Hence, the proposed method can be used to predict motion kinematics during a fast change of direction.
OriginalspracheEnglisch
TitelISBS - Conference Proceedings Archive : 37th Conference of the International Society of Biomechanics in Sports; ISBS2019; conference proceedings
Redakteure/-innenSarah Breen, Mark Walsh, Meredith Stutz
Seitenumfang4
Band1
Herausgeber/inInternational Society of Biomechanics in Sports
Erscheinungsdatum09.2019
Seiten427 - 430
Aufsatznummer105
PublikationsstatusVeröffentlicht - 09.2019
VeranstaltungConference of the International Society of Biomechanics in Sports (ISBS) - Miami University , Oxford, USA / Vereinigte Staaten
Dauer: 21.07.201925.07.2019
Konferenznummer: 37

ID: 4884851

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