A training device and a training method for reducing hypertonic are disclosed. The training device includes a base, a driving circuit, two pedals, a control circuit, and a switch circuit. The driving circuit is fixed on the base. Each of the two pedals is coupled to the base. The driving circuit drives each of the two pedals to swing repeatedly between a first position and a second position relative to the base. When the control circuit executes a training program, the control circuit actuates the driving circuit.

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.

Disclosed are example embodiments of systems and methods for exercise including an exercise machine including a multiple directional force component configured to apply a multiple directional force to an exercise machine-human body interface, the multiple directional force component further configured to provide a divergent intensity to the exercise machine-human body interface to provide the human body with a resistance during a physical exercise and an artificial intelligence (AI) component configured to control the multiple directional force component. In an example, the AI component may control the multiple directional force component based on morphological characteristics and variability of running speed parameters including at least one of stride length, stride frequency, explosive drive force, and arm drive.

In one aspect of the disclosure, a motorized Pilates reformer system may include a frame, a carriage configured to slide along the frame, springs attached to the carriage, attachment mechanisms attached to the frame, spring motors attached to the frame, a footbar rotatably attached to the frame, and a footbar motor attached to the frame. The spring motors may be configured to cause the attachment mechanisms to each alternate between attaching one of the springs to the frame and detaching the spring from the frame. The footbar motor may be configured to rotate the footbar with respect to the frame between multiple footbar positions.

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.

A treadmill with an anti-entrapment function allows a user to stand on the treadmill and includes a running unit, a control unit, and a detection unit. The running unit includes two lateral bases, a driving roller, a driven roller, and a running belt. Each lateral base has a bottom end portion lower than the running belt. The detection unit includes a transmitter for emitting a light wave and a receiver for receiving the light wave. When accidently pulled into the gap between the running belt and one of the lateral bases, the user or a foreign object is moved by the running belt to the space between the transmitter and the receiver, thus keeping the receiver from receiving the light wave. The receiver sends out a warning signal in response, in order for the control unit to control the rotation speed of the driving roller accordingly to prevent continued entrapment.

An electric treadmill includes a motor and a motor driving circuit. The motor driving circuit is operable to control electric current flow from a positive electrode through the motor to a negative electrode to drive the motor. The motor driving circuit has a switch path connected between the positive electrode and the negative electrode. The switch path has a resistance element and a switch element connected in series. When the motor driving circuit receives power from the external power source, the switch element will automatically switch to an open state so that the resistance element is inactive; and when the motor driving circuit does not receive power from the external power source, the switch element will automatically switch to an closed state so that the resistance element is operated to provide a resistive load for stopping rotation of the endless belt.

A balance training system including a mobile plate configured to support a sole of a trainee in a standing state, a first member fixed on the mobile plate, a load distribution sensor including a plurality of sensors arranged in a matrix under the mobile plate and configured to detect a load received from the trainee riding on the mobile plate and a position of the first member, and a control unit configured to calculate a net moving amount of a center of gravity position of the trainee based on a difference between a moving amount of a center of gravity position of the load received from the trainee detected by the load distribution sensor and a moving amount of the position of the first member detected by the load distribution sensor and to control a movement of the mobile plate based on a result of the calculation.

A method for unlocking a control unit of an exercise machine includes providing the exercise machine, having at least one sensor for detecting presence of a user on the exercise machine, with at least one electrical signal representative of a detection carried out at the time of the occupation of the exercise machine by a user. The method further includes switching, by the exercise machine, the control unit of the exercise machine from a first locking condition to at least a second operating condition in which the user may issue commands to the exercise machine by the control unit, based on the at least one electrical signal provided by said at least one sensor for detecting the presence of the user on the exercise machine.