Human Movement Science
-
Wearable sensor algorithms powered by machine learning could be key to preventing runners’ injuries
A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from… Read MoreOct. 28, 2020