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Published on: May 26, 2020
Estimation of ground reaction force direction in inline speed skating motion
Yuya Kimura1, Toshiharu Yokozawa1
1Department of Sports Sciences, Japan Institute of Sports Sciences, Tokyo, Japan.
This study presents a new method to estimate ground reaction force (GRF) direction in speed skating using leg posture. The knee-based estimation (Est2) proved accurate and suitable for biomechanical analysis.
Area of Science:
- Biomechanics
- Sports Science
- Kinetics
Background:
- Accurate estimation of ground reaction forces (GRF) is crucial for analyzing speed skating biomechanics.
- Traditional GRF measurement relies on force plates, which can be limiting in dynamic sports settings.
- Estimating GRF from supporting-leg posture offers a potential non-invasive alternative.
Purpose of the Study:
- To propose and verify a novel method for estimating GRF direction from supporting-leg posture in speed skating.
- To compare the accuracy of two estimation methods (ankle-based vs. knee-based) against force plate measurements.
- To assess the suitability of the validated method for biomechanical calculations.
Main Methods:
- Two methods (Est1 using ankle, Est2 using knee joint center) were developed to estimate GRF direction based on leg posture.
- Three-dimensional kinematic and force plate (FP) data were collected from 16 speed skaters during straight and curved skating.
- Root mean square error (RMSE) and bias were calculated to compare estimated GRF with FP measurements.
Main Results:
- The knee-based method (Est2) demonstrated consistently smaller RMSE compared to the ankle-based method (Est1).
- Estimated GRF errors were generally within 10% of body weight, with biases <8% for most conditions after corrections.
- Intraclass correlation analysis showed good agreement for X' and Z' components, with minimal impact from the Y' component.
Conclusions:
- The developed method (Est2) using knee joint center provides a suitable and accurate estimation of GRF direction in speed skating.
- This posture-based estimation method can be effectively used for biomechanical analyses, such as joint torque and power calculations.
- The findings support the use of non-invasive kinematic data for estimating kinetic variables in sports performance analysis.
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