Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements
<b>Background/Objectives:</b> This study aimed to examine how uncertainties in inertial properties and minimal sets of inertial parameters (MSIP) affect inverse-dynamics simulations of high-acceleration sport movements and to demonstrate that applying MSIP identified through the free vib...
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MDPI AG
2025-03-01
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| Series: | Biomechanics |
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| Online Access: | https://www.mdpi.com/2673-7078/5/1/18 |
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| author | Takahiro Homma Hiroshi Yamaura |
| author_facet | Takahiro Homma Hiroshi Yamaura |
| author_sort | Takahiro Homma |
| collection | DOAJ |
| description | <b>Background/Objectives:</b> This study aimed to examine how uncertainties in inertial properties and minimal sets of inertial parameters (MSIP) affect inverse-dynamics simulations of high-acceleration sport movements and to demonstrate that applying MSIP identified through the free vibration measurement method improves simulation accuracy. <b>Methods:</b> Monte Carlo simulations were performed for running, side-cutting, vertical jumping, arm swings, and leg swings by introducing uncertainties in inertial properties and MSIP. <b>Results:</b> These uncertainties significantly affect the joint torques and ground reaction forces and moments (GRFs&Ms), especially during large angular acceleration. The mass and longitudinal position of the center of gravity had strong effects. Subsequently, MSIP identified by our methods with free vibration measurement were applied to the same tasks, improving the accuracy of the predicted ground reaction forces compared with the standard regression-based estimates. The root mean square error decreased by up to 148 N. <b>Conclusions:</b> These results highlight that uncertainties in inertial properties and MSIP affected the calculated joint torques and GRFs&Ms, and combining experimentally identified MSIP with dynamics simulations enhances precision. These findings demonstrate that utilizing the MSIP from free vibration measurement in inverse dynamics simulations improves the accuracy of dynamic models in sports biomechanics, thereby providing a robust framework for precise biomechanical analyses. |
| format | Article |
| id | doaj-art-b6fa2ca9083d4b48bb8d9a322e20cf42 |
| institution | DOAJ |
| issn | 2673-7078 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Biomechanics |
| spelling | doaj-art-b6fa2ca9083d4b48bb8d9a322e20cf422025-08-20T02:42:45ZengMDPI AGBiomechanics2673-70782025-03-01511810.3390/biomechanics5010018Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration MeasurementsTakahiro Homma0Hiroshi Yamaura1Department of Mechanical Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8852, JapanDepartment of Mechanical Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8852, Japan<b>Background/Objectives:</b> This study aimed to examine how uncertainties in inertial properties and minimal sets of inertial parameters (MSIP) affect inverse-dynamics simulations of high-acceleration sport movements and to demonstrate that applying MSIP identified through the free vibration measurement method improves simulation accuracy. <b>Methods:</b> Monte Carlo simulations were performed for running, side-cutting, vertical jumping, arm swings, and leg swings by introducing uncertainties in inertial properties and MSIP. <b>Results:</b> These uncertainties significantly affect the joint torques and ground reaction forces and moments (GRFs&Ms), especially during large angular acceleration. The mass and longitudinal position of the center of gravity had strong effects. Subsequently, MSIP identified by our methods with free vibration measurement were applied to the same tasks, improving the accuracy of the predicted ground reaction forces compared with the standard regression-based estimates. The root mean square error decreased by up to 148 N. <b>Conclusions:</b> These results highlight that uncertainties in inertial properties and MSIP affected the calculated joint torques and GRFs&Ms, and combining experimentally identified MSIP with dynamics simulations enhances precision. These findings demonstrate that utilizing the MSIP from free vibration measurement in inverse dynamics simulations improves the accuracy of dynamic models in sports biomechanics, thereby providing a robust framework for precise biomechanical analyses.https://www.mdpi.com/2673-7078/5/1/18inertial propertiesminimal set of inertial parametersdynamics simulationuncertaintyhigh accelerationidentification |
| spellingShingle | Takahiro Homma Hiroshi Yamaura Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements Biomechanics inertial properties minimal set of inertial parameters dynamics simulation uncertainty high acceleration identification |
| title | Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements |
| title_full | Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements |
| title_fullStr | Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements |
| title_full_unstemmed | Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements |
| title_short | Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements |
| title_sort | evaluating inertial parameter uncertainty in high acceleration movements and improving predictions through identification using free vibration measurements |
| topic | inertial properties minimal set of inertial parameters dynamics simulation uncertainty high acceleration identification |
| url | https://www.mdpi.com/2673-7078/5/1/18 |
| work_keys_str_mv | AT takahirohomma evaluatinginertialparameteruncertaintyinhighaccelerationmovementsandimprovingpredictionsthroughidentificationusingfreevibrationmeasurements AT hiroshiyamaura evaluatinginertialparameteruncertaintyinhighaccelerationmovementsandimprovingpredictionsthroughidentificationusingfreevibrationmeasurements |