Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

Disclosed is a mat, method, and program for measuring a golf posture that are capable of measuring a golf club swing speed. The golf posture measuring mat capable includes a sensor unit sensing a pressure corresponding to a golf posture of a user and a trajectory of a head of a golf club, a control unit analyzing the golf posture of the user and a swing speed of the golf club based on a sensed signal of the sensor unit, a display unit displaying analysis data analyzed by the control unit, and a storage unit storing the analysis data and reference data. A plurality of sensors in the sensor unit are arranged one-dimensionally or two-dimensionally on a mat plate. Each of the plurality of sensors includes a single sensor including one among a capacitive pressure sensor, a resistive pressure sensor, and a hybrid pressure sensor, or includes a composite sensor including two or more among the capacitive pressure sensor, the resistive pressure sensor, and the hybrid pressure sensor.

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

An information processing device comprising at least one processor, wherein the at least one processor is configured to: acquire a plurality of pieces of exercise information indicating each of a plurality of types of exercise amounts measured according to exercise of a subject; acquire a weight derived in advance based on the exercise information for each type of the exercise information; and derive a load amount applied to a body of the subject based on the plurality of pieces of exercise information and the weight.

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with one or more users; (2) for each user of the one or more users: determining, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation; (3) determining, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation; (4) generating a treatment plan for the at least one user, where the treatment plan pertains to a cardiac rehabilitation that is specific to the at least one user; and (5) assigning the treatment plan to at least one electromechanical machine to enable the user to perform the cardiac rehabilitation.

An information processing device includes: a displacement information acquisition unit that acquires displacement information corresponding to 3-dimensional displacement of a predetermined portion of an object that a user mounts in accordance with a body motion on the basis of positional information of the predetermined portion and an output control unit that performs control such that an output unit performs a predetermined output on the basis of the acquired displacement information. The object has, for example, a seatback on which a user can sit. The displacement information acquisition unit acquires a change in a position in at least one of front and rear directions, right and left directions, or upward and downward directions of a seatback.

Described herein are devices and systems relating to sports training equipment, for example, for baseball. These devices and systems can comprise a mat with markers identifying a plurality of positions on the mat. In some embodiments, the system can comprise removably attachable footpads to identify ideal foot positions for an athletic performance. In some embodiments, the footpads comprise one or more pressure sensors. The system can comprise one or more position sensors on a ball, and one or more position sensors removably attachable to a hand-held sports instrument. In some embodiments, the system can comprise a memory, communicatively coupled to a processor and a camera, with executable instructions to implement a set-up component, a user recognition component, a practice component, and instructional component, and a play component.

An exercise system that may be rail-less, frameless, and/or portable is described. The exercise system includes a carriage having a plurality of wheels and a stationary platform. The stationary platform is independent of and separate from the carriage, and the stationary platform is freestanding. At least one tension member having a first end is attached to the carriage and a second end is detachably attached to the platform such that the carriage is movable on a horizontal plane parallel to a ground surface while the stationary platform remains in a fixed position.

An apparatus for natural torso and limbs tracking and feedback for electronic interaction with fall safety support. The apparatus comprises a body harness worn on the body of a user, a support structure designed to bear the weight of the user in the event of a stumble, trip, or fall, and a plurality of tethers attached at one end to the harness and at the other end to the support structure. One or more sensors are integrated into the system to measure aspects of the user's movement and used as input to control a computer system. In the event of stumble, trip, or fall, all of, or a portion of, the user's body weight is borne by the tethers as a safety mechanism to prevent injury. The system is designed to be used with virtual reality systems wherein the user's vision is blocked or obscured by a virtual reality visor.

The fitness display apparatus comprises an outer housing provided on guide rails (1) and capable of moving under the limit of the guide rails (1); a display screen (14) is provided on the outer housing, the outer housing is internally provided with a generator (11), a PCB (12), a tension sensor (9) and a rechargeable battery (10), the PCB (12) is provided with a charging circuit and a control chip; the generator (11) is connected to the rechargeable battery (10) by means of the charging circuit; a rotor of the generator (11) is in contact with the guide rails (1), and when the outer housing moves, the rotor of the generator (11) rotates; the rechargeable battery (10) is electrically connected to the PCB (12); the tension sensor (9) and the display screen (14) are respectively electrically connected to the PCB (12); and the tension sensor (9) is provided between an external device and a load bearing rod (3). By providing a display unit, exercise data can be intuitively displayed; obtained data can be sent to a mobile device or a cloud by means of a wireless module, and an exercise process is accurately described in combination with a suitable APP and other software, laying a foundation for datamation of training processes and training effects.