A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks

Athletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional amateur athletes. Wearable technology is attracting the research community’s interest because of its capability to provide real-time biofeedback coaches athletes when on field outside more restrictive laboratory conditions. In this paper, a novel wearable motion sensor-based system has been designed developed athletic performance assessment during running jumping tasks. The consists number components involving embedded systems (hardware software), back-end analytics, information communications (ICT) platforms, graphical user interface data visualization by coach. able automatic activity recognition, estimation metrics, as well vertical ground reaction force (GRF) predictions, with sufficient accuracy valuable regards training outcomes. low-power, sufficiently small real-world scenarios, easy use, achieves specified communication range. system’s high sampling rate, levels enables it evaluation tool support their practice.