Predicting Athlete Ground Reaction Forces and Moments From Spatio-Temporal Driven CNN Models
نویسندگان
چکیده
منابع مشابه
Normalization of ground reaction forces, joint moments, and free moments in human locomotion.
Authors who report ground reaction force (GRF), free moment (FM), and resultant joint moments usually normalize these variables by division normalization. Normalization parameters include body weight (BW), body weight x height (BWH), and body weight x leg length (BWL). The purpose of this study was to explore the appropriateness of division normalization, power curve normalization, and offset n...
متن کاملNormalization of ground reaction forces.
The appropriateness of normalizing data, as one method to reduce the effects of a covariate on a dependent variable, should be evaluated. Using ratio, 0.67-nonlinear, and fitted normalizations, the aim of this study was to investigate the relationship between ground reaction force variables and body mass (BM). Ground reaction forces were recorded for 40 female subjects running at 3.7 +/- 0.18 m...
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Racquet sports have high levels of joint injuries suggesting the joint loads during play may be excessive. Sports such as badminton employ lateral sidestepping (SS) and crossover stepping (XS) movements which so far have not been described in terms of biomechanics. This study examined bilateral ground reaction forces and three dimensional joint kinetics for both these gaits in order to determin...
متن کاملEstimating the Complete Ground Reaction Forces and Moments during Walking Using Inertial Motion Capture
Whole-body inverse dynamics techniques have been recently proposed to assess the ground reaction forces and moments (GRF&M) only from motion data. Even though such techniques remove the dependency on force plate measurements, they are still bounded by the restrictions imposed by optical motion capture, i.e. the limited marker tracking volume, increased complexity, and requirement of a laborator...
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Ground reaction forces and moments (GRF&M) are important measures used as input in biomechanical analysis to estimate joint kinetics, which often are used to infer information for many musculoskeletal diseases. Their assessment is conventionally achieved using laboratory-based equipment that cannot be applied in daily life monitoring. In this study, we propose a method to predict GRF&M ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Engineering
سال: 2019
ISSN: 0018-9294,1558-2531
DOI: 10.1109/tbme.2018.2854632