A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

A ball game apparatus in which movements of a coded ball are detected by detector units and an automatic indication of a player’s score is given, where data relating to the ball are stored in a database connected to the detector units, the data including the code of a ball and a code relating to a player to whom the ball has been allocated, the ball being configured to temporarily store, and to intermittently transfer to the detector units and thence to the database, data relating to the ball’s movements. A rechargeable battery is contained within the ball, and is arranged to be charged by a battery charging system. Features of the game may be controlled by means of a player’s mobile telephone.

A golf club head has a body defining a ball striking face. The body further has a rear portion comprising a plurality of side walls and a planar lower portion. The plurality of side walls extend downward from a top of the golf club head towards the planar lower portion. The body further comprises a cover extending over the rear. The body further defines a gap between the cover and the planar portion.

One or more apparatuses are provided. In an example, an exercise machine is provided. The exercise machine may include one or more driving elements connected to one or more motors controlled by a computer. The one or more motors may be configured to provide an electromechanical resistance via the one or more driving elements. The electromechanical resistance may be controlled by smart algorithms running on the computer such that variable resistance is provided at different parts of movement. The algorithms may use readings from one or more sensors. The exercise machine may include a controller configured to control the motor based upon one or more inputs. The exercise machine may include an exercise bar. The exercise machine may include a screen. The exercise machine may include safety actuators. The exercise machine may be fixed on its place or may be portable. The exercise machine may include electromechanical safety stand(s).

Systems and methods for fitness tracking are provided. A fitness tracking computing system conveys information over a network to a visual display of a device viewable by a user. The device can be a smart phone, tablet computer, or a laptop. Instructions are conveyed to the visual display that identify an exercise to be performed by the user. during performance of the exercise by the user, an exercise status summary is provided to the visual display. Based on the user's movements during performance of the exercise, as tracked by a camera, feedback is provided to the visual display.

A system for monitoring and recording and processing an activity includes one or more cameras for automatically recording video of the activity. A remote media system is located at the location of the activity. A network media processor and services is communicatively coupled with the remote media system. The remote media system includes one or more AI enabled cameras. The AI enabled camera is configured to record the activity. The network media processor is configured to receive an activation request of the AI enabled camera and the validate the record request.

An indication is received from a user to rack or unrack a digital weight. A motor is signaled to apply or remove tension to a cable couple to the motor based at least in part on the indication. The actuator is connected to the cable and is physically arranged to deliver a force to the user. The motor selectively tensions a cable in accordance with an exercise program.

According to one example, an exercise system includes a vertical housing, a first weighted touchpoint coupled to the vertical housing and configured to allow a user to exercise one or more muscles on a first side of the user, a first weight system coupled to the first weighted touchpoint, a second weighted touchpoint coupled to the vertical housing and configured to allow the user to exercise one or more muscles on a second side of the user, and a second weight system coupled to the second weighted touchpoint. The exercise system further includes a control system configured to cause the first weight system to automatically provide a first heavier weight to the first weighted touchpoint for a first exercise and further cause the second weight system to automatically provide a second lighter weight to the second weighted touchpoint for the first exercise.

An exercise accessory includes a load bearing shaft. It further includes a ring-shaped actuator oriented substantially concentrically to the shaft that is responsive to radial pressure from a user. The radial pressure from the user causes a control signal to be transmitted from the exercise accessory to an exercise machine.

A pelvic floor muscle training device includes a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and one or more application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.