Systems and methods are described for providing coaching, training, or equipment specification information to individual golfers based on data generated during their individual golf swings. Additionally, data hubs are described that provide information and services to individuals based on data collected for a community of multiple golfers. Such community data hub systems and methods may provide one or more of the following: (a) storage of scoring data, swing data, ball flight data, and/or equipment data for multiple golfers; (b) at least some level of individual access to the stored data for the community; and/or (c) electronic interaction between golfers within the community.

Systems and methods for identifying golf equipment. The system may include one or more performance tracking devices, such as an optical sensor system or a radar sensor system for tracking at least one of a golf club swing or a golf ball flight. The system also may include at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations. The operations include receiving current dynamic input for a golf shot from a golfer and current static input for the golfer. The operations also include executing a trained machine-learning model based on the received current dynamic input and current static input to generate predicted golf club properties and/or predicted golf ball properties for the golfer. The predicted golf club properties and/or predicted golf ball properties are displayed on a connected display.

A golf head alignment device has a bubble float assembly having a circular rod portion having a first end and a second end, a liquid encapsulated within the circular rod portion and a bubble formed within the liquid, a first indicator presented on a left side of the rod portion, a second indicator presented on a right side of the rod portion, a central portion of the circular rod portion defined between the first indicator and the second indicator, a front side, a back side with the back side being covered with a portion of a reflective material, and a grip having a top having a cutout portion, the cutout portion for receiving the bubble float assembly therein, and a secondary alignment indicator provided in the grip with the secondary alignment indicator for centering the bubble in the central portion.

Systems and methods for identifying golf equipment. The system may include one or more performance tracking devices, such as an optical sensor system or a radar sensor system for tracking at least one of a golf club swing or a golf ball flight. The system also may include at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations. The operations include receiving current dynamic input for a golf shot from a golfer and current static input for the golfer. The operations also include executing a trained machine-learning model based on the received current dynamic input and current static input to generate predicted golf club properties and/or predicted golf ball properties for the golfer. The predicted golf club properties and/or predicted golf ball properties are displayed on a connected display.

Systems and methods are described for providing coaching, training, or equipment specification information to individual golfers based on data generated during their individual golf swings. Additionally, data hubs are described that provide information and services to individuals based on data collected for a community of multiple golfers. Such community data hub systems and methods may provide one or more of the following: (a) storage of scoring data, swing data, ball flight data, and/or equipment data for multiple golfers; (b) at least some level of individual access to the stored data for the community; and/or (c) electronic interaction between golfers within the community.

According to various embodiments of the present invention, a method for obtaining an exercise video performed in a system for obtaining an exercise video, which includes a user device, a server, and a drone, comprises the steps of: receiving a first value for specifying a flight height of the drone, a second value for specifying a distance between a first sensor of the drone and a first point on a surface of a first athlete, and a third value for specifying an angular displacement of the drone in a direction from the first point toward the first sensor with respect to a front direction of the first athlete; confirming information that the drone is at the same height as the first value; obtaining video data obtained by a measurement value and the first sensor.

Systems and methods are described for providing coaching, training, or equipment specification information to individual golfers based on data generated during their individual golf swings. Additionally, data hubs are described that provide information and services to individuals based on data collected for a community of multiple golfers. Such community data hub systems and methods may provide one or more of the following: (a) storage of scoring data, swing data, ball flight data, and/or equipment data for multiple golfers; (b) at least some level of individual access to the stored data for the community; and/or (c) electronic interaction between golfers within the community.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle from a forward direction.

Methods, systems, and apparatus, including medium-encoded computer program products, for 3D flight tracking of objects include a method including: determining at least one three dimensional trajectory for at least one golf ball hit into a three dimensional physical space based on observations by at least one golf ball sensor placed adjacent to the three dimensional physical space; calculating systemic and stochastic errors for the at least one three dimensional trajectory in accordance with variations in golf ball launching position, variations in locations for the at least one golf ball sensor, or both; and presenting a report showing a summary of the calculated systemic and stochastic errors to indicate preferred hitting positions, a different location for the at least one golf ball sensor, or both.

Systems and methods for identifying golf equipment. The system may include one or more performance tracking devices, such as an optical sensor system or a radar sensor system for tracking at least one of a golf club swing or a golf ball flight. The system also may include at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations. The operations include receiving current dynamic input for a golf shot from a golfer and current static input for the golfer. The operations also include executing a trained machine-learning model based on the received current dynamic input and current static input to generate predicted golf club properties and/or predicted golf ball properties for the golfer. The predicted golf club properties and/or predicted golf ball properties are displayed on a connected display.