Category
Wearable Technology
Document Type
Paper
Abstract
The purpose of this study was to analyze the agreement between the estimation of knee sagittal moment, knee sagittal velocity, knee power and vertical ground reaction force (GRF) using inertial measuring unit (IMU) against well-established motion capture analysis during unweighted squat, walking at self-selected speed, and vertical countermovement jump (CMJ). Eleven healthy participants equipped with retroreflective markers were measured using an optical motion capture system and force platforms. A neural network was created to estimate knee velocity and kinetics, and vertical GRF, using data of 2 IMUs and knee angle as input. The estimations were accurate, with nRMSE values less than 20%. The time of foot strike and foot off during gait and take-off during CMJ were also well estimated, with mean differences less than 20 ms for gait and 200 ms for CMJ. The results show the potential of using this approach in sport activities.
Recommended Citation
Fernandes dos Santos, Gilmar; Hurschler, Christof; and Jakubowitz, Eike
(2025)
"ESTIMATION OF BIOMECHANICAL PARAMETERS DURING SQUAT, WALKING AND JUMPING USING IMUS,"
ISBS Proceedings Archive: Vol. 43:
Iss.
1, Article 23.
Available at:
https://commons.nmu.edu/isbs/vol43/iss1/23
