A method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

A machine implemented method and system, including: transmitting one or more credentials of a user account from a user device to an exercise management system (EMS) having a processor and one or more sensors, where the EMS is disposed on an exercise equipment disposed in a selected at least one fitness center and the exercise equipment is part of a selected at least one exercise plan; transmitting the one or more credentials of the user account from the EMS to a cloud server having a processor; transmitting the selected at least one exercise plan for the new user account from the cloud server to the EMS; transmitting an exercise equipment information from the EMS; forming a user exercise data by the EMS for the exercise equipment based on data received from the one or more sensors; and transmitting an exercise feedback from the EMS.

A yoga under-mat to be positioned under an exercise mat, to make the exercise mat a smart mat. The yoga under-mat including a plurality of sensors to monitor a user's health data, while the user is performing exercises, and to provide data to the user.

The therapeutic isometric testing and isotonic training exercise device disclosed herein may allow for isometric strength testing and isometric and isotonic strength training of a user to prevent or treat soft and connective tissue deficiencies. The device may comprise, generally, a leg press, chest press, and shrug press exercise device combination having a plurality of electronic components. The device may comprise a seat assembly and weight stack assembly connected to an articulating frame, and may further comprise a weight locking pin and a plurality of load sensors for user work measurements. A proprietary software may be integrated into the device, and each user may have a personal user account and customized training regimen designed for them based on system inputs and readings.

A machine for gymnastic exercises includes a gripping element which can be gripped by a user, and a first motor and a second motor able to be commanded independently from each other and each configured to generate respective loads suitable to define a resistant force perceived on the gripping element during a traction exerted on the latter by a user. The machine also includes a sliding guide and a slider installed slidingly on the sliding guide.

To propose a new value for a seat, a seat system which can make notification of advertising information fit for an occupant seated on the seat with a sensor included therein is provided. The seat system includes: a seat which includes a seat body, and a sensor provided in the seat body and configured to acquire information for use in identifying a physical state of an occupant seated on the seat body; a server having pieces of advertising information stored therein; and a terminal capable of acquiring the information from the sensor and communicating with the server. The terminal or the server is configured to choose, based on the information or an evaluation value based on the information, a piece of advertising information related to the information or the evaluation value from among the pieces of advertising information, and notify the occupant of the piece of advertising information.

An apparatus and method for repetitively training a golf swing is disclosed. In some embodiments of the present apparatus, foot placement guides are provided to align a golfer's stance relative to a golf ball on a tee. Motion and other data capture create a swing profile for the golfer's swing, which is compared to the swing of a golf Pro, thus giving swing feedback to the golfer. The apparatus automatically resets the ball position after the swing, allowing the golfer to repeat the swing based on the received feedback while isolating other variables (such as inaccurate resetting of foot position).

A computer-implemented system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan, a patient interface, and a computing device configured to: receive treatment; write to an associated memory, configured to be accessed by an artificial intelligence engine, treatment data, the artificial intelligence engine being configured to use at least one machine learning model to, using the treatment data, generate at least one of a treatment scheduling output prediction and an appointment output; receive, from the artificial intelligence engine, the at least one of the treatment scheduling output prediction and the appointment output; and selectively modify, using the at least one of the treatment scheduling output prediction and the appointment output, the at least one aspect of the treatment plan.

Golf stroke training apparatus, as well as methods and systems to train a golfer to improve golf strokes, including putting strokes, wherein the golf stroke training apparatus provides a planar surface that can be levelled statically to the surface below it and can be adjusted by adding slope and/or pitch in quantifiable measurements and with a high degree of accuracy, wherein the repeatable golf stroke environments so provided permit repeatable and quantifiable golfer stroke actions and analysis and leading to golf stroke consistency.

The balance training apparatus includes: a moving cart capable of moving on a moving surface by driving a driving unit; a detection unit configured to detect a load received from a foot of a trainee who is standing on the moving cart; a calculation unit configured to calculate the center of gravity of loads of both feet of the trainee on a riding surface from, the load detected by the detection unit; a setting unit configured to set the center of gravity of the loads at which it is estimated that the trainee has maintained an upright state on the riding surface as a reference center of gravity; and an instruction controller configured to output an instruction of the orientation of the body to the trainee and an instruction to move the center of gravity to the trainee.