Abstract: Systems, devices and methods are provided for determining injury risk and athletic readiness based on user movement data, including movement variability data. Generally, a sensor device, such as a force plate, is provided for sensing certain characteristics of a user movement. A computing device coupled to the sensor device can be configured to receive sensor data indicative of the characteristics of the user movement, process and extract information from the sensor data, and transmit the processed sensor data to a server system. The remote server system can be configured to store, aggregate and update the processed sensor data in a database, and can also generate one or more normalized scores correlating to the user movement. The normalized scores can indicate to a user a susceptibility to injury and/or a readiness towards return to normal activity.

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: Systems, devices and methods are provided for determining injury risk and athletic readiness based on athletic movement data. Generally, a sensor device, such as a force plate, is provided for sensing certain characteristics of an athletic movement. A local computing device coupled to the sensor device can be configured to receive sensor data indicative of the characteristics of the athletic movement, process and extract information from the sensor data, and transmit the processed sensor data to a remote server system. The remote server system can be configured to store, aggregate and update the processed sensor data in a database, and can also generate one or more normalized scores correlating to the athletic movement. The normalized scores can indicate to a user a susceptibility to injury and/or a readiness towards return to play.

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: Wearable computing devices adapted to be worn on the feet are provided for acquiring, validating and analyzing athletic movement data. Generally, the wearable computing devices can include one or more processors, a memory, and one or more sensors for sensing certain characteristics of an athletic movement. A local computing device is provided for receiving data from the wearable computing device that is indicative of the characteristics of the athletic movement, extracting selected portions from the data, and transmitting the selected portions to a remote server system. The remote server system can be configured to store, aggregate and update a data in a database, and generate one or more normalized values and/or interventions associated with the athletic movement. The normalized values may indicate to the user a susceptibility to injury, progression towards return to play or propensity for success with respect to a sport.

Abstract: Systems, devices and methods are provided for acquiring, validating and analyzing athletic movement data. Generally, a sensor device, such as a force plate, is provided for sensing certain characteristics of an athletic movement. A local computing device coupled to the sensor device can be configured to receive sensor data indicative of the characteristics of the athletic movement, process and extract information from the sensor data, and transmit the processed sensor data to a remote server system. The remote server system can be configured to store, aggregate and update the processed sensor data in a database, and can also generate one or more normalized scores correlating to the athletic movement. The normalized scores can indicate to a user a susceptibility to injury, progression towards return to play or propensity for success with respect to a particular sport.

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.

Abstract: A method for training athletes is disclosed. The method comprises: maintaining a classification for signatures generated based on movement data associated with athletes; wherein the movement data is stored in a database; associating guidance with each signature in the classification; and assigning a signature from the database to at least some athletes in the database.