Abstract: Scores made by a player participating in a game can be tracked by using a sensor device coupled to the player to detect when the player attempts to make a score with a ball or other projectile. When a score is made, such as when something enters a goal, it is determined whether the projectile from the player is what made the score so that the score can be properly attributed to the player or another player. Attribution can be based on whether the score occurred within an appropriate time window, which could be computed from data from the sensor device. Attribution can also be based on the use of machine readable identifiers on the projectile, player, and/or goal.

Abstract: Inertial measurement units attached to a non-rigid body may measure a common motion event when the body changes direction of travel. Acceleration measurements made by the inertial measurement units of the event are used to determine a common reference direction which in turn can be used to derive, individually for each inertial measurement unit, a new orientation intended to be a better representation of the actual orientation of the inertial measurement unit.

Abstract: A method for processing a video recording involves receiving sensor data from at least one sensor located on a person performing a physical activity. The sensor data includes biometric and/or biomechanical measurements taken from the person while performing the activity. The video recording is of the person performing the activity. The received video recording is correlated with the received sensor data to allow portions of the video recording to be matched with portions of the sensor data from corresponding periods of time. Correlation allows one to readily find and review video footage that show the activity being performed correctly or not based on an interpretation of the sensor data.

Abstract: A myography system and method can compensate for background noise in order to analyze data indicative of muscle contraction. Compensating for background noise may include any of: removing a model of the actual background noise from frequency data obtained from a myography sensor, identifying which myography sensor from among a plurality of myography sensors is located at a muscle likely undergoing contraction, and narrowing the analysis to searching for the type of muscular contraction (e.g., concentric, isometric, or eccentric) that is likely to be occurring. A model of the actual background noise can be obtained through use of myography sensors on different parts of the moving body. The muscles which are likely to be under contraction and the types of muscle contraction that are likely to be occurring at those muscles can be identified through use of motion capture devices, such as imaging devices and inertial measurement units.