The present disclosure is directed to a non-intrusive, integrated system comprising an umpire bot for automatically monitoring, umpiring, scoring, analytics, learning and coaching for players while eliminating need for human umpires and scorers. The automated umpire bot with intelligent telescopic function monitors, cognitively recognizes and captures movements from all equipment's, analyses them, moves up and down and even avoid ball collision travelling towards it. The non-intrusive real time system captures all the game moments right from players initiation, toss of coin, commencement of game, monitoring field positions, keeping scores, umpiring decisions, overs, valid/in-valid deliveries, validating balls per over, wickets, catches, boundaries, sixes and displaying scores and statistics all throughout the game.

Systems and methods for tracking off of the dribble shooting statistics are provided. An ejector launches basketballs to a user selected subset of pass receipt locations spaced apart about a basketball playing area. A controller receives data from an interface representing the user selected subset of the pass receipt locations and certain of the pass receipt locations in the subset where the player intends to perform a pre-shooting basketball move immediately before receiving the pass or making the shooting attempt and commands the ejector to launch at least one basketball to each of the pass receipt locations in the subset. Data is received from a detector indicating made basketball shots, and a performance report is generated with feedback for each of the pass receipt locations in the subset with a qualifier associated with at least some of the feedback indicating off of the dribble shooting.

A sports training system includes an array of break beam sensors. Each sensor is configured to detect a passage of an object, such as a hockey puck, between adjacent posts and provide information for the passage to a controller communicatively attached to the array of sensors. A mobile application is configured to receive information from the controller and provide, for presentation to a user, passage statistics for the passages completed by one or more players. Servers are located in at least one data center. The servers are configured to receive and store the passage statistics and to provide access to the passage statistics.

A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

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.

A system and a method related for evaluation of sport ball data. The method includes calibrating a first coordinate system of a first camera to a second coordinate system of a baseball field; capturing, with the first camera, one or more images including a first batter; determining biometric characteristics of the first batter based on the one or more images and the calibration of the first camera to the baseball field; mapping the biometric characteristics of the first batter to an upper positional limit and a lower positional limit of a first strike zone for the first batter; and determining positional limits of the first strike zone in the second coordinate system.

Certain aspects of the present disclosure provide techniques for a smart putter and a putter gaming system. The smart putter may be configured with a plurality of sensors. The smart putter may be configured to process information from the plurality of sensors to determine whether a stroke has been performed by a user of the smart putter. Detecting a stroke has occurred may include detecting that the smart putter has impacted a golf ball on a field of play. The smart putter may further be configured to sign-in with a track associated with the putter gaming system. The putter gaming system may be configured to perform automatic scoring based, in part, on the stroke detection performed by the smart putter. The putter gaming system may further be configured to detected when a golf ball has been holed, indicating completion of a track.

An exercise sensing method, an exercise sensing apparatus and an exercise sensing system are provided. The exercise sensing system includes a computing device, a storage device and at least one biophysical quantity sensor disposed on at least one muscle portion of a user. In the method, a current muscle strength of the muscle portion when the user performs an exercise is monitored by the biophysical quantity sensor. An exercise history of the user is accessed to obtain a muscle strength reference value of the muscle portion when the user previously performed the exercise. The current muscle strength is compared with the muscle strength reference value so as to adjust an exercise intensity of the exercise.

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 let detection system includes a sensor including an accelerometer attached to a tennis net. The sensor is in wireless communication with an umpire device able to send a message to the sensor, wherein the message causes the sensor to calibrate and begin monitoring for a let. The sensor determines a three-dimensional (3D) vector representing the gravity acting on the sensor as a baseline. When the sensor detects vertical acceleration of the net relative to the baseline and the vertical motion is above a preset threshold, the sensor automatically transmits a let notification message to the umpire device.