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.

According to one example, an exercise system includes a vertical housing, a first weight system coupled to a first upper weighted touchpoint, a second weight system coupled to a second upper weighted touchpoint, a third weight system coupled to a first lower weighted touchpoint, and a fourth weight system coupled to a second lower weighted touchpoint. The exercise system further includes a control system that is configured to cause the first weight system to provide weight to the first upper weighted touchpoint independent of each of the second, third, and fourth weight systems, and cause the third weight system to provide weight to the first lower weighted touchpoint independent of each of the first, second, and fourth weight systems. The first upper weighted touchpoint and the first lower weighted touchpoint may allow the user to exercise the first arm and the first leg of the user simultaneously.

An exercise machine includes an upright mounting assembly having a top and a bottom spaced-apart from the top. The exercise machine includes a seat operatively connected to the upright mounting assembly. The exercise machine includes a first pair of space-apart pulley assemblies rotatably mounted adjacent to the top of the upright mounting assembly. The exercise machine includes a second pair of spaced-apart pulley assemblies rotatably mounted adjacent to the bottom of the upright mounting assembly. The exercise machine includes a plurality of exercise resistance cables connected at proximal end portions to the upright mounting assembly and extending around and outward, respectively, from the first and second pairs of spaced-apart pulley assemblies.

An exercise machine has a main frame which supports and includes a carriage support base, a torso carriage assembly coupled to the carriage support base, an upper torso support slidably coupled to the torso carriage assembly, an adjustable shoulder support slidably coupled to a track assembly, a foot support assembly slidably coupled to a foot support carriage, and an adjustable resistance operably connected with the shoulder support and the upper torso support.

A rehabilitation equipment includes a left foot pedal, a right foot pedal, a left-pedal driving module to drive movement of the left foot pedal, and a right-pedal driving module to drive movement of the right foot pedal. The rehabilitation equipment measures forces output by the left-pedal driving module and the right-pedal driving module when a user is at a relaxing state and also when the user is at an exercising state, thereby obtaining information relating to forces voluntarily output by the left foot and the right foot of the user.

An exercise device accommodating leg thrust exercises is shown and described. The device provides a flat, nominally planar base or frame on which are mounted two slide members riding in parallel, linear tracks. Each slide is coupled to the frame by an elastic tether. A hand grip bar spans right and left sides of the frame at one end thereof. In use, a person grasps the hand grip bar, and places each foot on one of the slide members. The user then pushes with either one leg or alternatively, with both legs, against the resistance of the elastic tether.

A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.

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 motorized assist apparatus provides an assist force to user moved weight of a weight training or rehabilitation/therapy exercise machine or stand and includes an assist force delivery assembly with operably connected motor and reel, a flexible assist member on the reel to transmit force from the assembly to a primary load interface (PLI). A main digital controller controls operation of the assembly and a human-machine interface (HMI) accepts input of variable parameters for assist control. In some examples, the PLI is a harness to support a rehabbing person. In some examples, the motor can be a DC servo motor or an AC induction motor. In some examples, the assist assembly has two or more motors connected to drive the reel.

An exercise device is disclosed herein. The exercise device includes a platform, a track unit, a first leg holder, a second leg holder and a bracket. Further the exercise device includes a first resistance band and a second resistance band. The exercise device can be moved from any recliner or ottoman with ease to assist users in strengthening the legs and upper body whilst sitting.