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.

A method for optimizing at least one exercise for a first user. The method includes receiving first user data including attribute data associated with the first user and outcome data associated with the exercise. The method includes generating, based on the first user data, initial target data. The initial target data is associated with at least one of the first user, the exercise apparatus, and the exercise. The method includes receiving measurement data associated with at least one of the first user, the exercise apparatus, and the exercise. The measurement data is associated with one or more sensors. The method includes determining differential data based on one or more differences between the initial target data and the measurement data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate optimized target data.

Embodiments of the present invention are directed to devices, systems, and methods for implementing drills and providing coaching instructions to users. Embodiments may load a drill, measure values obtained from one or more sensors installed on a player's tennis racket and/or worn on the player's body, and use those values to detect various parameters, such as the physical impact of a ball at the player's racket. Embodiments may then output a coaching instruction to the user. Embodiments may also include adding customized coaching instructions to a drill.

A treadmill includes a frame; a running belt configured to rotate relative to the frame; and a motor coupled to the running belt. The motor is operable in a plurality of user controlled operating modes. In a first operating mode, a user of the treadmill provides a force of rotation to the running belt. In a second operating mode, the motor is adapted to resist rotation of the running belt. In a third operating mode, the motor is adapted to provide a force of rotation to the running belt at a desired speed.

According to one example, an exercise system includes a vertical housing, a first weighted touchpoint coupled to the vertical housing and configured to allow a user to exercise one or more muscles on a first side of the user, a first weight system coupled to the first weighted touchpoint, a second weighted touchpoint coupled to the vertical housing and configured to allow the user to exercise one or more muscles on a second side of the user, and a second weight system coupled to the second weighted touchpoint. The exercise system further includes a control system configured to cause the first weight system to automatically provide a first heavier weight to the first weighted touchpoint for a first exercise and further cause the second weight system to automatically provide a second lighter weight to the second weighted touchpoint for the first exercise.

In particular embodiments, a treadmill may comprise one or more lifting mechanisms configured to lift and lower a treadmill belt (e.g., adjust an angle of the treadmill belt relative to a support surface) by adjusting a height of the front and rear of the treadmill about a pivot point. In particular embodiments, the pivot point may be positioned somewhat centered along a length of the belt. In particular embodiments, a seesaw arrangement may provide a central pivot point, providing a moment arm to the motor while decreasing a moment arm caused by the load (e.g., a runner). In this way, an apparent load on a motor providing incline and decline to the running surface may be reduced.

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.

Controlling an exercise machine includes receiving a stream of measurements of extension of a component of an exercise machine. It further includes characterizing the stream of measurements including detecting at least one extremum having at least one extremum parameter. It further includes matching the extremum parameter with a previously determined signature associated with a user. It further includes changing an output of the exercise machine based at least in part on the match.