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

Research output: Chapter in Book/Report/Conference proceedingConference contribution - Article for conferenceResearchpeer-review

Standard

THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS. / David, Sina; Mundt, Marion; Koeppe, Arnd; Bamer, Franz; Markert, Bernd; Potthast, Wolfgang.

ISBS - Conference Proceedings Archive: 37th Conference of the International Society of Biomechanics in Sports; ISBS2019; conference proceedings. ed. / Sarah Breen; Mark Walsh; Meredith Stutz. Vol. 1 International Society of Biomechanics in Sports, 2019. p. 427 - 430 105.

Research output: Chapter in Book/Report/Conference proceedingConference contribution - Article for conferenceResearchpeer-review

Harvard

David, S, Mundt, M, Koeppe, A, Bamer, F, Markert, B & Potthast, W 2019, THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS. in S Breen, M Walsh & M Stutz (eds), ISBS - Conference Proceedings Archive: 37th Conference of the International Society of Biomechanics in Sports; ISBS2019; conference proceedings. vol. 1, 105, International Society of Biomechanics in Sports, pp. 427 - 430, Conference of the International Society of Biomechanics in Sports (ISBS), Oxford, United States, 21.07.19.

APA

David, S., Mundt, M., Koeppe, A., Bamer, F., Markert, B., & Potthast, W. (2019). THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS. In S. Breen, M. Walsh, & M. Stutz (Eds.), ISBS - Conference Proceedings Archive: 37th Conference of the International Society of Biomechanics in Sports; ISBS2019; conference proceedings (Vol. 1, pp. 427 - 430). [105] International Society of Biomechanics in Sports.

Vancouver

David S, Mundt M, Koeppe A, Bamer F, Markert B, Potthast W. THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS. In Breen S, Walsh M, Stutz M, editors, ISBS - Conference Proceedings Archive: 37th Conference of the International Society of Biomechanics in Sports; ISBS2019; conference proceedings. Vol. 1. International Society of Biomechanics in Sports. 2019. p. 427 - 430. 105

Bibtex

@inbook{10d037f4a1dd4803aca745a944ef44ae,
title = "THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS",
abstract = "Athletes{\textquoteright} 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{\textquoteright}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. ",
author = "Sina David and Marion Mundt and Arnd Koeppe and Franz Bamer and Bernd Markert and Wolfgang Potthast",
year = "2019",
month = sep,
language = "English",
volume = "1",
pages = "427 -- 430",
editor = "Sarah Breen and Mark Walsh and Meredith Stutz",
booktitle = "ISBS - Conference Proceedings Archive",
publisher = "International Society of Biomechanics in Sports",
note = "null ; Conference date: 21-07-2019 Through 25-07-2019",

}

RIS

TY - CHAP

T1 - THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS

AU - David, Sina

AU - Mundt, Marion

AU - Koeppe, Arnd

AU - Bamer, Franz

AU - Markert, Bernd

AU - Potthast, Wolfgang

N1 - Conference code: 37

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

M3 - Conference contribution - Article for conference

VL - 1

SP - 427

EP - 430

BT - ISBS - Conference Proceedings Archive

A2 - Breen, Sarah

A2 - Walsh, Mark

A2 - Stutz, Meredith

PB - International Society of Biomechanics in Sports

Y2 - 21 July 2019 through 25 July 2019

ER -

ID: 4884851