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 device for visual walking includes an omnidirectional exercise machine and foot wearable devices. A method for visual walking is applied to the device for visual walking. When a user wears the omnidirectional exercise machine and uses the loading frame to adjust a height of the omnidirectional exercise machine, and wears the foot wearable devices to stand and run on a running plate, human body posture data is obtained by tracking a human body torso. Then displacement data of left and right feet is obtained by tracking the feet. A virtual position and a movement speed of the feet are respectively obtained according to the displacement data, the leg posture is inferred by the IK algorithm according to the virtual position and the walking action of the virtual character is controlled according to the human body posture data, the movement speed of the feet, and the leg posture.

A weight sled that allows both linear and non-linear movements such that resistance training can be performed in the frontal, sagittal, and combined frontal/sagittal planes, and which allows easy movement for transportation, storage, and retrieval from storage. The weight sled uses one or more swiveling, pivoting, or omni-directional wheels that allow all or a portion of the sled to be moved laterally. The addition of wheel configurations allowing of lateral movement of all of, or a portion of, the weight sled greatly expands the utility of weight sleds because movement in any direction can be trained, whether in the sagittal body plane (forward/backward movements), the frontal body plane (lateral movements), or a combination of the two. Additionally, the plurality of wheel configurations allows for a variety of storage arrangements.

A lighting system for a treadmill comprising front power disks positioned at each end of a front axle, rear power disks positioned at each end of a rear axle, a spring-loaded carbon brush associated with a respective power disk, each spring-loaded carbon brush attached to a fixed part of the treadmill and in physical contact with the respective power disk, each spring-loaded carbon brush electrified by a primary power source and in turn electrifying the respective power disk, and a first conductor connected to at least one slat of the multiple slats and a second conductor connected to the at least one slat, the first conductor and second conductor in electrical communication with a light on the at least one slat and in contact with one of the front power disks or the rear power disks.

To provide a highly reliable, cost-effective traveling collector that can determine the positions of fallen objects, such as balls, on the ground using a simple method, or determine the correct positions of fallen objects, such as balls, on the ground only by improving software and without the need for significant changes to hardware. The traveling collector includes a count sensor as a sensor for detecting the position of each collected ball at a position detected by a satellite positioning system, for example. A controller determines a position, which is obtained by reflecting, based on the positional information on the ball collector at a time point when the ball was counted by touching the count sensor, the movement distance of the ball collector from the time each ball was picked up from the ground by a ball collection wheel till the ball was counted by touching the count sensor in a direction opposite to the traveling direction of the ball collector at that time, as the actual position where each ball was picked up.

A treadmill arrangement, having a treadmill stand and an endless belt which runs over rollers mounted in the treadmill stand and is driven by a drive, with one surface of the endless belt serving as a walking or running surface. A motion state detection device is allocated to the treadmill to detect a motion state or a positional change of the legs and/or feet of the user relative to the treadmill stand and to obtain a control signal for the drive.

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.

In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

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 exercise device includes a base defining an inner volume and a top supported by the base, the top defining an aperture. The exercise device further includes a force sensor configured to measure force on the top and a motor disposed within the base and below the top, the motor including a cable extendable through the aperture. The exercise deice further includes a controller communicatively coupled to each of the force sensor and the motor. The controller is adapted to actuate the motor in response to forces applied to the top as measured by the force sensor. The controller may also actuate the motor in response to one or more additional parameters related to the speed or force with which the cable is manipulated (e.g., pulled by a user).