The present invention is not a method of directly calculating the rotational characteristics of a ball through frequency analysis of a received signal as in the prior arts, but a method of determining a final spin information by finding the spin information of the moving ball while approaching a ball trajectory predicted in terms of the trajectory of a moving ball using the position coordinate data of the ball to the trend data indicating the trend of the position coordinates of the moving ball. The present invention provides a method of finding the spin in terms of the trajectory of the moving ball, regardless of whether it is possible to check the frequency characteristics of the rotation of the ball from the signal reflected from the moving ball, and thus derives a fairly accurate and uniform spin calculation result.

A method and a device are for simulating a golf shot for a user. The method includes receiving golf course information and receiving historical golf shot capabilities of the user in combination with generating at least one current golf shot simulation based on a current position of a golf ball on the golf course, the golf course information and the historical golf shot capabilities of the user and determining a strategy for the current golf shot based on the at least one current golf shot simulation.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.

The present embodiments provide systems and methods for aggregating measurements captured by different technologies during a golf swing. By capturing measurements using different technologies, more accurate measurements may be provided to a user by selecting from the measurements, offsetting measurements based on the technologies used, and aligning measurements between devices. Further, by aggregating measurements received from different devices, additional features and functionality may be provided to the user that is absent from any one device used alone. Additionally, by storing the aggregated measurements, users, club fitters and instructors may access and leverage larger databases of measurements to better understand the user's golf swing and to provide better recommendations and instruction to the user.

A system for generating a fitting recommendation for a golf club, the system including: a launch monitor including one or more sensors configured to capture ball flight characteristics; and a computing device communicatively coupled to the launch monitor, the computing device including: a processor, and memory storing instructions that, when executed by the processor, cause the system to perform operations including: receiving, by the computing device, player input data; receiving, by the computing device from the launch monitor, first ball flight characteristics for a first golf shot; generating, based on both the player input data and the first ball flight characteristics, a first computed distance and a first computed accuracy; and generating, based on the first computed distance and the first computed accuracy, the fitting recommendation including at least one of a golf club head model, a loft, a shaft weight, or a shaft length.

A system for computer-implemented golf shot analysis includes a tracking device and a computing device. The computing device accesses ball flight data generated by the tracking device in view of a predetermined gradient map and associated functionality to derive a performance metric that penalizes shots deemed to be offline.

A golf tracking system including a tag coupled to a golf club. The tag includes a plurality of sensors, each which output a signal based on a detected movement of the golf club, a microcontroller that compares each of the plurality of sensor outputs to stored reference sensor output values, and a transceiver that transmits data corresponding to the sensor outputs to a device remote from the tag based on the comparison performed by the microcontroller. The location-aware device then processes the information received from the tag to determine whether a shot should be registered.

A method of selecting a golf club head for a specific user, includes: (a) receiving first data comprising impact location of each of a plurality of golf swings taken by the user using a test golf club; (b) generating an impact probability map specific to the user; (c) providing second data comprising correlations between striking face location and coefficient of restitution (COR) for each of a plurality of golf clubs; (d) calculating a user-specific expected COR value for each of the plurality of golf clubs based on the first data, the impact probability map, and the second data for each of the plurality of golf clubs; and (e) outputting and displaying golf club preference information based on the calculated user-specific expected COR.

A method of selecting a golf club head for a specific user, includes: (a) receiving first data comprising impact location of each of a plurality of golf swings taken by the user using a test golf club; (b) generating an impact probability map specific to the user; (c) providing second data comprising correlations between striking face location and coefficient of restitution (COR) for each of a plurality of golf clubs; (d) calculating a user-specific expected COR value for each of the plurality of golf clubs based on the first data, the impact probability map, and the second data for each of the plurality of golf clubs; and (e) outputting and displaying golf club preference information based on the calculated user-specific expected COR.