TY - GEN
T1 - A comparison of three methods for estimating vertical ground reaction forces in running
AU - Komaris, Dimitrios-Sokratis
AU - Perez-Valero, Eduardo
AU - Jordan, Luke
AU - Barton, John
AU - Hennesy, Liam
AU - O'Flynn, Brendan
AU - Tedesco, Salvatore
PY - 2020/7/18
Y1 - 2020/7/18
N2 - 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).
AB - 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).
UR - https://commons.nmu.edu/isbs/vol38/iss1/14
M3 - Conference publication
VL - 38
T3 - ISBS Proceedings Archive
BT - ISBS Proceedings Archive
T2 - 38th International Society of Biomechanics in Sport Conference
Y2 - 20 July 2020 through 24 July 2020
ER -