Springer Nature Group publishes in Scientific Reports a new method for prediction of continuous and discrete kinetic parameters in horses using ProMove-mini sensor nodes and recurrent artificial neural networks. The study evaluates vertical ground reaction forces (GRFz) by measuring twenty-four clinically sound horses, equipped with IMUs on the upper-body and each limb, walked and trotted on a GRFz measuring treadmill.

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The open-access full paper is available here.