Abstract: A method for training athletes is disclosed. The method comprises: calculating an athletic signature for an athlete comprising normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete; analyzing the athletic signature; and assigning at least one training block to the athlete based on the analysis of the athletic signature.
Abstract: A method for training athletes is disclosed. The method comprises: calculating an athletic signature for an athlete comprising normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete; analyzing the athletic signature; and assigning at least one training block to the athlete based on the analysis of the athletic signature.
Abstract: A method for profiling an athlete is discloses. The method comprises storing force-time data for a population of athletes; wherein said force-time data is generated by a sensor system in respect of each of said plurality of athletes in response to the said athlete performing an athletic movement, and comprises values for a concentric net vertical impulse (CON-IMP), an average eccentric rate of force development (ECC-RFD), and an average vertical concentric force (CON-VF); performing a normalization of the force-time data for each athlete based on values of the force-time data within the population of athletes; and generating a profile comprising an athletic signature for each athlete in the population, wherein said profile comprises the normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete.
Abstract: A system for analyzing athletic performance is disclosed. The system includes at least one sensor for sensing an aspect of an athletic movement for an athlete that varies during said movement an to generate sensor data corresponding thereto; and a processor for executing instructions to extract portions of the sensor data corresponding to a load phase, an explode phase, and a drive phase of the athletic movement.