A system and method for providing active golf ball location tracking according to the present invention is a hand-held device having a memory having instructions stored thereon, a display device, and a processor configured to execute the instructions on the memory to cause the hand-held device to establish a connection with a first golf ball among the plurality of golf balls, load a data buffer containing a unique ID into the first golf ball, periodically determine a current position of the first golf ball until the current position begins to change, receive cellular network tower signals associate with the first golf ball, periodically triangulate a moving position of the first golf ball using the cellular network tower signals, when the moving position of the first golf ball stops changing, determine a range and direction of the first golf ball from the hand-held device; and display the range and direction of the first golf ball on the display device.

An electronic device and method for detection of intentional contact between an object and a body part of a player are provided. An electronic device receives a plurality of frames of a video from an imaging device. The electronic device tracks a movement of the object and a movement of the body part across the plurality of frames. The electronic device determines, based on the tracked movement, a frame of interest from the plurality of first frames in which degree of overlap between position coordinates of the object and position coordinates of the body part of the player exceeds an overlap threshold. The electronic device detects a contact between the object and the body part of the player based on the frame of interest. The electronic device applies a machine learning model on the frame of interest and the tracked movement to determine whether the contact is intentional.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

An Internet of Thing (IoT) sport device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A system including a motorized base unit with a smart device mount for automatically orienting the smart device camera toward a moving target to track the moving target and take pictures or video. The target (e.g., a child playing soccer) wears a tracking tag comprising a GPS chip and transmitter packaged inside an athletic pad. The base unit includes a motorized mast for mounting a smart device. The base unit receives the transmitted GPS data, calculates updated pointing angle and angular velocity for the smart phone based on update location information from the remote tag sensor, calculates the correct angle that the smart phone should be pointed at, translates the new pointing directions to a control signal that turns the mast, which in turn causes the smart device camera to “follow” or track the target.

Methods and systems for real-time generation of ball shot analytics are disclosed. The methods and systems perform steps for ball and posture detection, ball and posture flow generation, shot event identification and classification, and shot analytics generation based on identified shot events and shooter posture flow. Embodiments of the present invention use computer vision techniques to enable a resource-limited mobile device such as a smartphone to conduct the aforementioned steps. Therefore, the present invention may be implemented using a processor on a single mobile computing device. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.

A method and apparatus for automatically scoring a golf player includes detecting and recording the golf player at a golf tee pad by an identification reading device at the golf tee pad reading an identification device of a golf club that is used by the golf player. Movement of a golf ball after it is hit by the golf club is detected. A location of the golf ball when the golf ball stops is recorded and the golf player is credited with a stroke. Subsequently, each time movement of the golf ball is detected, the location of the golf ball is updated and the golf player is credited with another of the stroke.

A basketball shooting apparatus is disclosed. The apparatus comprises a backboard and rim assembly having a backboard positioned in parallel with ground and ceiling and a rim member attached in perpendicular to the backboard. The apparatus further comprises an assistive learning system (ALS), a frame, and a motion tracking system. The ALS is attached to the backboard to perform score-keeping, intelligent instruction providing, and mode changing during shooting practice. The frame comprises a net attached at its peripheral ends to support the backboard and rim assembly and ALS. The motion tracking system comprises one or more tracking devices positioned on and/or around a user capable of capturing, inferring, or allowing the inference of three-dimensional motion from the user's arms, hands and wrists. The ALS provides visual feedback regarding the user's shooting form via a visual display, thereby training the user at their learning phase of developing proper shooting techniques.

Methods, systems, and computer-program products used for assessing athletic ability and generating performance data. In one embodiment, athlete performance data is generated through computer-vision analysis of video of an athletic performing, e.g., during practice or gameplay. The generated performance data for the athlete may include, for example, maximum speed, maximum acceleration, time to maximum speed, transition time (e.g., time to change direction), closing speed (e.g., time to close the distance to another athlete), average separation (e.g., between the athlete and another athlete), play-making ability, athleticism (e.g., a weighted computation and/or combination of multiple metrics), and/or other performance data. This performance data may be used to generate and/or update a profile associated with the athlete, which can be utilized for recruiting, scouting, comparing, and/or assessing athletes with greater efficiency and precision.