According to another embodiment, a method may include: receiving, at a centralized controller, a play data for players using a plurality of basketball hoop devices, the play data comprising shot data comprising ball flight trajectory data, shot angle data, shot distance data, and shot success data; calculating, by the centralized controller, a skill level for each of the plurality of players using the play data; applying, by the centralized controller, a skill leveling algorithm to the shot data to determine parameters for each basketball hoop device based on the skill level of each of the players, wherein the parameters comprise a hoop height, a hoop angle, and a hoop distance; and communicating, by the centralized controller, the parameters to local controllers at the respective basketball hoop device, wherein the local controllers control actuators at the respective basketball hoop devices to implement the parameters.

A system for recognition of objects in a game, the system has a table with playing board for pucks on which the game is played, and reference markings distributed across the playing board that are used together with corner of the playing board in a surface mapping process. At least one area scan camera acquires images of the playing table during a game and reads fiducial marker of pucks that have the fiducial markers. The at least one area scan camera is arranged to cover the playing board and the reference markings. A processing unit processes the images acquired by the at least one camera.

A system and method for scoring the performance of a performer in a sport, such as bull riding and gymnastic competitions. The scoring can be done using a video feed of a performance. Computer vision of the system can detect predefined body parts of the performer in frames of the video feed. Thereafter, geometric centers of the predefined body parts can be defined. Thereafter, a framework can be built by connecting the geometric centers and spatiotemporal changes in the framework can be tracked for determining predefined body movements. A scoring module based on deep neural network can score the performance using the predefined body movements.

The present disclosure is directed to a system for sensor-based objective determination. An example apparatus includes memory, instructions, and processor circuitry to execute the instructions to at least compare time-synchronization data between a first signal and a second signal, the first and second signals received in response to a detected contact between a first participant and a second participant in an event, wherein the first signal is received from a first sensor operably coupled to the first participant, the first sensor to measure at least one first physical parameter of the first participant while the first participant is engaged in the event, and wherein the second signal is received from a second sensor operably coupled to the second participant, the second sensor to measure at least one second physical parameter of the second participant while the second participant is engaged in the event, and determine, based on (a) the time-synchronization data, (b) the at least one first physical parameter, and (c) the at least one second physical parameter, whether the detected contact between the first participant and the second participant exceeds one or more thresholds corresponding to a rules-based infraction associated with the event.

An electronic sideline marker for use in football comprises a first display configured to display an indication of a down and a second display configured to display one or more timers. The second display may be configured to display a play clock, a go-clock, and/or a throw-clock. A play clock may first be displayed, and the marker may then receive an indication (e.g., a button press) that the football has been snapped, at which point display of the play clock may be replaced with display of a go-clock. The marker may be configured to output indications when the play clock, go-clock, and/or throw-clock expire. The marker may be configured to electronically communicate with one or more other markers for use in the football game, or one or more other remote electronic devices such as sensors in flag football belts, flags, and/or footballs.

A method for adaptive user training and gaming utilizing a media player is disclosed. The method includes operations of receiving, by control logic, data pertaining to selection of a first training program, transmitting, by the control logic, media instructions to cause activation of a media player configured to display visual data corresponding to the first training program, and transmitting, by the control logic, ball-throwing instructions to cause activation of a ball-throwing machine configured to impart motion to one or more balls in accordance with the first training program. The method includes additional operations of recording, by the control logic, an indication of the first training program in a player profile. Additional operations includes recording, by the control logic, training data indicating metrics associated with performance of the first training program.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

A system for detecting a ball or strike in baseball.

A game ball tracking system, including a game ball, including a body, a plurality of sensor wires disposed within at least a portion of an interior of the body, and a plurality of sensor transceivers disposed on at least a portion of each of the plurality of sensor wires to receive at least one signal identifying a position of the body on a field, a ball tracking assembly disposed on at least a portion of the field to disperse the at least one signal across the field, and a plurality of field transmitters connected to at least a portion of the ball tracking assembly to transmit the at least one signal therefrom.

Methods, systems, and techniques for automated detection of goals and announcement of same are provided. The system includes a modified hockey puck and a set of goal units that can be mounted on a hockey goal. Within the puck are light sources, motion sensors, infrared transmitters, and a power source. Within the goal units are light sources, infrared sensors, and a microcontroller. When the goal units are mounted on the hockey goal, the infrared sensors form a detection area through which the puck must pass in order to count as a goal. The infrared transmitter of the puck and the infrared sensors of the goal units communicate with one another, and, when an infrared signal is received, the microcontroller automatically triggers one or more annunciator devices, such as visual, auditory, or haptic devices, to automatically indicate that a goal has been scored without human intervention.