A method of varying a dynamic resistive force during a strength training exercise includes receiving a selection of the strength training exercise from a set of available strength training exercises and obtaining exercise logic for the strength training exercise from computer memory. The exercise logic provides instructions for generating a vector that defines the dynamic resistive force provided at an end effector of a strength training apparatus during the strength training exercise. The method includes determining a real-time geometric arrangement of a plurality of cables coupled to the end effector, generating, based on the real-time geometric arrangement of the plurality of cables and the exercise logic, time-varying operating setpoints for a plurality of actuator assemblies coupled to the plurality of cables, and exerting the dynamic resistive force at the end effector by controlling the plurality of actuator assemblies in accordance with the time-varying operating setpoints.

An interactive exercise apparatus for guiding a user to perform an exercise includes a frame, a mirror, a display device, a driving mechanism, and a control unit. The mirror is movably mounted on the frame and configured to reflect an image of the user. The display device is disposed on a backside of the mirror and visible through the mirror. The driving mechanism is configured to drive the mirror to move with respect to the frame. The control unit is operable to control the driving mechanism according to a location of the user so as to control the mirror to move to a suitable position where the user can see their reflected image.

A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

Example systems, devices, media, and methods are described for presenting a virtual guided fitness experience using the display of an eyewear device in augmented reality. A guided fitness application implements and controls the capturing of frames of motion data using an inertial measurement unit (IMU) and video data from one or more cameras. The method includes detecting exercise motions (with or without equipment) as well as detecting and counting repetitions. Relevant data about detected motions or equipment is retrieved and used to curate the guided fitness experience. A current rep count is presented on the display along with an avatar for playing messages, performing animated demonstrations, responding to commands and queries using speech recognition, and presenting guided fitness instructions through text, audio, and video.

Treadmill protective cover and methods of use are disclosed herein. An example system includes a protective cover for a treadmill, a sensor associated with the treadmill or the protective cover, the sensor detecting when an object is near or within an entrapping area between the protective cover and a conveyor of the treadmill, and a controller configured to receive signals from the sensor, the controller allowing the conveyor to freely operate when no objects are sensed within the entrapping area and stopping the conveyor when an object is sensed within the entrapping area.

The walking training system includes: a treadmill; a determination unit configured to determine whether a walking of the trainee on the treadmill is an abnormal walking based on predetermined abnormal walking symptoms; a display unit configured to display a result of a determination of each of the abnormal walking symptoms; a reception unit configured receive a selection of at least one result of the determination from the results of the determinations, each of which displayed on the display unit, in which regarding pieces of advice about adjustment items for improving the abnormal walking symptoms in the result of the determination which the reception unit has received the selection, the display unit preferentially displays the pieces of advice that are common to pieces of advice about adjustment items for improving the abnormal walking symptoms in a result of another determination in which the determination unit determines the abnormal walking.

Controlling access to a stationary exercise machine. In one aspect of the disclosure, a method may include establishing one or more authorized users of a stationary exercise machine having one or more moveable members, automatically locking the one or more moveable members of the stationary exercise machine, and receiving a request to perform a workout on the stationary exercise machine. In response to the receiving of the request to perform the workout on the stationary exercise machine, the method may include automatically determining whether any of the one or more authorized users is proximate to the stationary exercise machine. In response to automatically determining that one of the one or more authorized users is proximate to the stationary exercise machine, the method may include automatically unlocking the one or more moveable members of the stationary exercise machine to enable the workout to be performed on the stationary exercise machine.

A treadmill includes a tread belt that is rotatable in a forward direction and a backward direction. Before changing rotation directions on the tread belt, the treadmill implements a safety action. The safety action includes an alert and input in response to the alert to improve the safety of the user.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.