Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Leuven, Belgium, by NewsRx journalists, research stated, “Running poses a high risk ofdeveloping r unning-related injuries (RRIs).”Financial supporters for this research include Fonds Wetenschappelijk Onderzoek; Onderzoeksraad, KuLeuven.Our news editors obtained a quote from the research from University of Leuven (K U Leuven): “Themajority of RRIs are the result of an imbalance between cumulati ve musculoskeletal load and load capacity.A general estimate of whole-body biom echanical load can be inferred from ground reaction forces (GRFs).Unfortunately , GRFs typically can only be measured in a controlled environment, which hinders its widerapplicability. The advent of portable sensors has enabled training ma chine-learned models that are able tomonitor GRF characteristics associated wit h RRIs in a broader range of contexts. Our study presents andevaluates a machin e-learning method to predict the contact time, active peak, impact peak, and imp ulseof the vertical GRF during running from three-dimensional sacral accelerati on. The developed models forpredicting active peak, impact peak, impulse, and c ontact time demonstrated a root-mean-squared errorof 0.080 body weight (BW), 0. 198 BW, 0.0073 BW seconds, and 0.0101 seconds, respectively.”
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