A gymnastic machine for weightlifting includes: a load-bearing frame, two opposite first lateral guides, upward-downward, developed according to a first direction, two first slides each slidingly constrained on a corresponding first lateral guide, two opposite second lateral guides, developed according to a second direction transversal to the first direction, and each defined on board of one of the first slides, two second slides each slidingly constrained on a corresponding second lateral guide, a lifting bar, each of the ends of the lifting bar being constrained to a corresponding second slide, a motorised transmission configured for applying to the first slides either an opposing force to an upward thrust force, or a downward traction force.

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.

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.

A direct-drive bicycle training system and methods of using the same are provided. The system includes a bicycle trainer that rests on a support surface and supports a bicycle frame in an upright manner with respect to the support surface. The bicycle trainer includes a stator, a rotor that rotates with respect to the stator, a cassette affixed to the rotor, a support frame supporting the stator, rotor, and cassette, and a resistance applying mechanism that operatively couples to a portion of a drivetrain of the bicycle frame and applies varying levels of resistance to the portion of the drivetrain. The support frame moves with respect to the support surface in response to a force applied to the drivetrain of the bicycle frame during use of the bicycle training system, generating a more natural movement of the bicycle and simulating on-road use.

A wearable device may include a motor, a motor driver circuit, a frame connected to the motor, the frame to be worn on the body of the user to support the body, a processor configured to generate a control signal to control an electrical connection in the motor driver circuit, and a sensor configured to sense a body motion of the user. The processor is further configured to provide an exercise load through the frame according to a speed of the sensed body motion by controlling, based on the speed of the body motion, a changing ratio per time between a first control state in which the electrical connection in the motor driver circuit is a closed loop and a second control state in which the electrical connection in the motor driver circuit is an open loop.

A treadmill which utilizes provides for a connection between the floor stand and the treadbase which is toward the front end of the treadbase and provides for generally improved support of the front end of the treadbase at higher angles by providing that the lift mechanism is attached to the treadbase at two fixed points a fixed distance from each other. The lift mechanism then utilizes two different motions, the extension of an extension arm and the rotation of a rigid arm, to produce lift. The rotation of the rigid arm generally utilizes a wheel in an enclosed raceway attached to the floor stand.