A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A pedal activated lift advantage weight lifting bench apparatus that includes a pair of arm assists disposed connected to a pair of strut members disposed laterally adjacent to a weight lifting bench in position appropriate for each arm assist to supportively underlie and contact the dorsal side of each of a user's upper arms, whereby a pedal member, disposed in operational communication with each of a pair of uplift members, effects movement of each of said pair of uplift members between a retracted position and an extended position, to forcibly uplift each arm assist against the dorsal side of each of a user's upper arms and thereby assist a bench press without the need of overhead pulleys or another person standing as spotter.

A system and method of using an exercise system having a resistance structure of handles connected to cables, which cables are connected to at least one pneumatic cylinder that creates resistance, wherein the resistance is adjusted by the user via actuators in the handles, so that the user does not need to release the handles to adjust the resistance. The system is typically supported by a frame to surround the user, and the pneumatic cylinder may be connected to an equalizing tank that may be housed within or integrated into the frame. The system may include a monitor to visually display system parameters and other information to the user. The system may calculate resistance and work done by the user by measuring piston displacement and speed, as well as using accelerometers or other devices integrated into the handles.

A sport combat training machine including a base assembly; a post; a shaft assembly having a spring adaptor; a mounting frame that mounts onto the post; a lower striking assembly having a first motor with a respective first adaptor having a first spring attached to a respective first lower striking arm; an intermediate striking assembly; an upper striking assembly including a second motor, with a second adaptor having a second spring attached to a respective first upper striking arm; and an electrical system having at least one computer configured with software to operate the first and second motors and a pedal for controlling the at least one computer. The intermediate striking assembly includes a body having a target area and at least one sensor. The sport combat training machine further includes a top plate assembly having at least one sensor.

Provided is a training device capable of executing a plurality of operation modes, in which an operation rod is appropriately operated according to an operation mode. The training device includes the operation rod, a plurality of motors, a plurality of force detection units, and a plurality of first command calculation units. The operation rod allows a limb to move. The plurality of motors operate the operation rod in the direction of degree of freedom in which the operation rod can move. Each of the force detection units detects a corresponding force component and outputs a force component signal. The first command calculation units are connected to the corresponding force detection units. Each of the first command calculation units calculates a first motor control command on the basis of the corresponding force component signal.

A pitching screen assembly adapted to be readily converted between a deployed configuration and a non-deployed configuration including: a first ground-engaging support member having a first end, a second end, and a midpoint, wherein the first end and the second end define a length therebetween; a second ground-engaging support member having a first end, a second end, and a midpoint, wherein the first end and the second end define a length therebetween; a frame sub-assembly having an internal aperture contained therein; a protective screen, wherein the protective screen covers at least a portion of the internal aperture of the frame sub-assembly; wherein the frame sub-assembly is associated with the first ground-engaging support member and the second ground-engaging support member; and wherein the frame sub-assembly is rotatably displaceable along a first axis (X) that is generally orthogonal to the length of the first ground-engaging support member and the length of the second ground-engaging support member.

A fitness pull device includes a torque-controllable motor and a pull mechanism. The pull mechanism includes a housing which covers the motor, a motor base fixed in an inner cavity of the housing, a winding piece rotatably connected to an output shaft of the motor, and a rope wound on the winding piece. The motor transfers torque required by a user to the rope on the winding piece, so that the size of the force is changed according to the actual usage requirements of the user. The motor acts as a force generation apparatus, and the controllability of the existing torque of the motor is used in combination with the pull device structure such that the size of the force can be changed according to the actual usage requirements of the user, in order to enrich the user fitness experience, and achieve a better effect.

A stationary exercise device comprises pedals mounted via cranks to opposite sides of a drive wheel; a flywheel with a magnetic rim coupled to the drive wheel; a brake with a motor and one or more permanent magnets mounted for movement relative to the magnetic rim; a measuring unit for measuring at least one of the drive force applied via the drive wheel and the related torque; a measuring device for measuring cadence; and a command module. The command module uses measurements from the measuring unit and the measuring device to calculate a performance parameter and compares the performance parameter against a predetermined performance profile. The command module also can control the motor to move the permanent magnets relative to the magnetic rim to adjust the braking force applied and thereby adjust the performance parameter to conform with the performance profile.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

A training system includes a riding plate, a load sensor, a first center of gravity calculation unit, an image-capturing unit, a second center of gravity estimation unit, and a determination unit. The load sensor detects a load that the riding plate receives from a trainee. The first center of gravity calculation unit calculates a first center of gravity, which is a center of gravity of a load, based on the load detected by the load sensor. The image-capturing unit acquires image data of an image including a posture of the trainee. The second center of gravity estimation unit estimates a second center of gravity, which is a centroid position of the trainee, based on the image data. The determination unit determines that an alert to the trainee should be output based on a difference between the first center of gravity and the second center of gravity.