A comparison of three methods for estimating vertical ground reaction forces in running
North Michigan University, NMU Commons
The purpose of this study was to compare different approaches for the estimation of biomechanical loads in running. A neural network, a biomechanical model, and a two-mass model were tested on the same data set. The predictions of the neural network were highly accurate for all considered running speeds (average RMSE, 0.11 BW). The biomechanical model returned statistically similar results (p=0.113, 0.14 BW), but with increasing RMS errors at high running speeds. Finally, the two-mass model estimates were independent of running speed, but were the least accurate (RMSE, 0.18 BW).
Artificial neural networks , Biomechanics , Motion analysis , Kinematics
Komaris, D. S., Perez-Valero, E., Jordan, L., Barton, J., Hennesy, L., O'Flynn, B. and Tedesco, S. (2020) ‘A comparison of three methods for estimating vertical ground reaction forces in running’, 38th International Society of Biomechanics in Sport Conference Physical conference, 20-24 July, ISBS Proceedings Archive, 38 (1) Article 14. Available at: https://commons.nmu.edu/isbs/vol38/iss1/14
© Published by NMU Commons, 2020