Abstract: In one embodiment, a method includes receiving, from one or more sensors, biomechanical data of a first user performing a plurality of actions of a first action-type and outcome data of a plurality of outcomes corresponding to the respective plurality of actions. A plurality of sets of action-parameter values may be determined based on the received biomechanical data, where each of the sets of action-parameter values corresponds to a respective action of the plurality of actions. An athletic-performance model of the first user may be generated based on the plurality of sets of action-parameter values. The athletic-performance model may be a statistical model including probabilities computed with respect to the sets of action-parameter values and the outcome data.

Abstract: In one embodiment, a method includes accessing an athletic-performance model of a first user, where the model is based on a plurality of sets of action-parameter values of action parameters of the first user. The action-parameter values may be determined based on biomechanical data of the first user performing a plurality of actions of a first action-type and outcome data of each action. A current skill level of the first user may be determined based on a measure of variances associated with action parameters of the first action-type. Target ranges of action-parameter values may be calculated for action parameters based on the athletic-performance model. Each target range may be based on a measure of probability with respect to the particular action parameters and the outcome data. A report of athletic-performance feedback may be generated and may include current skill level information and the target ranges of action-parameter values.

Abstract: In one embodiment, a method includes accessing an athletic-performance model of a first user, where the model is based on a plurality of sets of action-parameter values of action parameters of the first user. The action-parameter values may be determined based on biomechanical data of the first user performing a plurality of actions of a first action-type and outcome data of each action. A current skill level of the first user may be determined based on a measure of variances associated with action parameters of the first action-type. Target ranges of action-parameter values may be calculated for action parameters based on the athletic-performance model. Each target range may be based on a measure of probability with respect to the particular action parameters and the outcome data. A report of athletic-performance feedback may be generated and may include current skill level information and the target ranges of action-parameter values.

Abstract: In one embodiment, a method includes receiving, from one or more cameras, video data associated with a first user performing a plurality of actions of a first action-type. The cameras may be positioned to observe one or more biomechanical acts of the first user and an outcome for each action. The video data may be optically processed to determine a plurality of sets of action-parameter values corresponding to the respective plurality of actions. Each action-parameter value may be based on biomechanical acts for the respective action from the video data. Outcome data corresponding to the respective plurality of actions may be determined based on the video data. An athletic-performance model of the first user may be generated based on the sets of action-parameter values. The athletic-performance model may be a statistical model including probabilities computed with respect to the sets of action-parameter values and the outcome data.

Abstract: In one embodiment, a method includes receiving, from one or more sensors, biomechanical data of a first user performing a plurality of actions of a first action-type and outcome data of a plurality of outcomes corresponding to the respective plurality of actions. A plurality of sets of action-parameter values may be determined based on the received biomechanical data, where each of the sets of action-parameter values corresponds to a respective action of the plurality of actions. An athletic-performance model of the first user may be generated based on the plurality of sets of action-parameter values. The athletic-performance model may be a statistical model including probabilities computed with respect to the sets of action-parameter values and the outcome data.

Abstract: A hierarchical composite armor is disclosed for protection against projectile impact comprising a plurality of platelets and a matrix substrate. The plurality of platelets are distributed in at least a first layer and in a second layer parallel to the first layer wherein the distribution of the platelets in the second layer is at least slightly offset from and overlaps the distribution of platelets in the first layer. The platelets are less thick than the overall thickness of the composite armor, and the platelets include a first material. The matrix substrate encapsulates the platelets, and the matrix substrate is different than the first material. The platelets and matrix substrate form an interactive network that dissipates a projectile's impact energy over an area much greater than the size of the projectile by synergistically transmitting the impact energy from platelets close to an impact location to platelets away from the impact location.