Abstract
During gait, vertical ground reaction forces (vGRF) can reach magnitudes which could cause different lower limb injuries. Measuring and studying generated vGRF can help to prevent musculoskeletal disorders. However, in order to measure vGRF, it is required the use of expensive equipment, which may also limit the study environment. This work presents different Machine Learning models to predict vGRF employing inertial sensors.
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Acknowledgement
This work has been funded by the Ministry of Science and Innovation, belonging to the State Research Agency (AEI) through the project PID2019-108310RB-I00/AEI/10.13039/501100011033 and by the Ministry of Universities through the aid for University Teacher Training FPU20/05137.
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Martínez-Pascual, D. et al. (2023). Machine Learning and Inertial Sensors to Estimate Vertical Ground Reaction Force During Gait. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_22
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