Provided is a system for robotic collaboration. A first robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor of the first robotic device effectuates first operations including: receiving first information from a processor of a second robotic device; actuating the first robotic device to execute a first action based on the first information; and transmitting second information to the processor of the second robotic device. The second robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor of the second robotic device effectuates second operations including: receiving the second information transmitted from the processor of the first robotic device; actuating the second robotic device to execute a second action based on the second information; and transmitting third information to the processor of the first robotic 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.

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.

Generally, a system and method for an automatic detection of referee's decisions during a ball-game match are provided. The method may include receiving a plurality of images of a ball-game field generated during the ball-game match; determining, based on predetermined ball-game rules, a first subset of images of the plurality of images representing a first event that is suspected as a specified rule-based event; determining, based on the predetermine ball-game rules, a second subset of images of the plurality of images that represents a second event, wherein the second event is subsequent to the specified rule-based event according to the predetermined ball-game rules; and analyzing, based on the predetermined ball-game rules, the images of the second subset and further determining, based on the analysis thereof, a referee's decision concerning whether the first even is the specified rule-based event.

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.

A method includes obtaining position information relating to an object in a sporting event, determining, based on the position information, that a start event has occurred, wherein the start event indicates a start of play of the sporting event, and generating, according to a result of the determination, an instruction to start storing position information relating to the object.