HIGHLIGHTS
- who: Sensors and collaborators from the Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of have published the research: Using Raw Accelerometer Data to Predict High-Impact 4200-450 4200-450 Obesity Integrated Responsability Unity (CRIO) Su00e3o Academic Medical Center 4200-319, in the Journal: Sensors 2023, 23, 2246. of 16/02/2023
- what: The aim of this study was to develop peak ground reaction force (pGRF) and peak rate (pLR) prediction equations for high-impact activities in adult subjects with a broad range of body masses from normal weight . . .
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