A golf ball dispenser includes: a receptacle configured to hold multiple golf balls; a passageway connecting an outlet of the golf dispenser with the receptacle; a gateway coupled between the passageway and the receptacle to restrict a passage of the multiple golf balls into the passageway, the gateway being selectively moveable to allow a golf ball to pass into the passageway for delivery to a tee area; and a display device embedded in the golf ball dispenser to present at least information regarding the golf ball in flight after the golf ball is hit from the tee area. Further, methods, systems, and apparatus, including medium-encoded computer program products, for use with such golf ball dispensers, can control holding and dispensing of golf balls at a golf facility, e.g., a driving range.

A training system operates to provide an online training system that includes an instructional portion, a performance portion and a results report. A trainer can create training modules and/or training programs and then launch a training program in which one or more users, utilizing a user system, can participate. A training program consists of one or more training modules. Each training module is configured to first run in a demonstration mode, in which the operator streams a demonstration of the physical activity required by the training module to one or more user systems. Users can thus view the demonstration of the physical activity on the user systems. The training module then enters a trial or trial mode in which each of the participants then engage in performing the physical activity. The user systems present a video/graphical display to show various performance criteria of the training module. The user systems also include a camera that is configured to monitor the activity of the user weighed against the performance criteria. Once the trial mode is completed, the data gathered by the user system cameras is then analyzed and evaluated and presented back to the participants.

Disclosed are techniques for leveraging machine learning to generate posture adjustment values for specific body postures of a player to improve loop drive techniques, such as in table tennis. Video clips of a player hitting a ball with a loop drive technique are analyzed to determine values for specific body postures and qualities of the ball after being hit. A machine learning model is generated to analyze relationships between body posture values and ball qualities. Upon receiving a video clip of a live session of a player hitting a ball using a loop drive technique, the machine learning model is used to generate adjustment values for body postures of the player to impart improved loop drive qualities to the ball, such as faster topspin.

Systems and methods for providing climbing walls are discussed. While such systems and methods can include any suitable component, in some cases, they include a climbing wall that has a base member and a climbing surface that includes at least one climbing hold. In some cases, the climbing surface is pivotally connected to the base member. Additionally, in some cases, the system includes an anchor that is configured to adjustably retain the climbing surface at an angle with respect to the base member. In some cases, the system further includes a camera, microphone, and/or display that are configured to allow a climber to have audio and/or visual interactions with another person in a remote location (e.g., for training, competition, etc.). In some cases, at least one climbing hold on the climbing surface comprises a sensor that is configured to indicate when a climber has used that hold. Other implementations are described.

An electronic device is provided. The electronic device includes at least one sensor, a communication circuitry, and at least one processor operatively connected with the at least one sensor and the communication circuitry, wherein the at least one processor may be configured to, if exercise information related to an exercise to be performed is received from a server through the communication circuitry, identify a movement for each part of a body to be performed based on the exercise information, transmit an activation command to at least one of a plurality of connected wearable devices through the communication circuitry based on the identified movement, transmit, to the server, at least one of a sensing value detected through the at least one sensor or a sensing value received from the at least one wearable device, and provide feedback received from the server.

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

The present invention relates generally to a novelty golf ball that has a plurality of internal electrical components capable of storing and playing a sound recording when motion of the novelty golf ball is detected. The body of the novelty golf ball may be of unitary construction or comprised of two separate halves that may be removably attached to one another to allow a user to access the electrical components stored on the interior of the novelty golf ball.

A method includes causing display, during a first time period and via a first set of multiple smart mirrors, of live video depicting at least one user associated with the first set of multiple smart mirrors, without displaying a workout video. The method also includes causing display, during a second time period following and mutually exclusive of the first time period, and via a second set of multiple smart mirrors, of a workout video and a representation of at least one user associated with the second set of smart mirrors. The method also includes causing display, during a third time period following and mutually exclusive of the second time period, and via a third set of multiple smart mirrors, of live video depicting at least one user associated with the third set of multiple smart mirrors.

A handgrip device has a palm rest operable to engage with a palm of a user, a grip bar moveably coupled with the palm rest and operable to engage with one or more fingers of a user. One or more force transducers can be disposed between the palm rest and the grip bar to measure a compression rate and the return rate of the grip bar relative to the palm rest, and a data connection operable to communicate the compression rate and the return rate.

A computer-implemented method for (1) receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof, (2) generating, using one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan is generated based on the one or more characteristics of the user, and the treatment plan comprises: (i) a dietary plan that is tailored to manage one or more medical conditions associated with the user, and (ii) an exercise plan comprises one or more exercises associated with the one or more medical conditions, and (3) presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan.