An exercise device includes a frame, handlebars supported by the frame, and a computing device. The handlebars include a yoke that is movable relative to the frame, a biasing element positioned between the yoke and the frame, and a sensor configured to measure a movement of the yoke.

A portable smart hand grip according to an embodiment of the present disclosure includes a first housing, a guide part combined with the first housing and including a first receiving portion and a second receiving portion, a second housing facing the first housing and having a first pressing portion and a second pressing portion which are received in the first receiving portion and the second receiving portion, respectively, a first elastic member disposed between the first pressing portion and the first housing, a second elastic member disposed between the second pressing portion and the first housing, a sensor received in the first housing for detecting a user's operation of the portable smart hand grip, a control circuit unit received in the first housing to control an operation of the sensor, and a battery unit received in the first housing to provide power to the control circuit unit.

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.

The present invention relates to a safety system for treadmills. The safety system includes at least one load/weight sensor and a small switch disposed within the base of the treadmill. The system also includes a comparator for comparing the weight of a user standing on the treadmill, and an input weight of the user displayed on a dashboard of the treadmill. The safety system allows the treadmill to activate only when the weight of the user is equal or more than the selected weight on the dashboard. The system can be integrated into a treadmill during manufacturing or can be retrofitted to existing treadmills. The system also controls various variables such as speed, duration and inclination of the treadmill.

Disclosed is a rehabilitation training apparatus. The rehabilitation training apparatus includes a pair of first tracks formed parallel to each other along first axis, a second track disposed on the pair of first tracks, and moving along the first axis, and formed along second axis, a hand holder disposed on the second track, and moving along the second track, and on which at least one of hand and arm of a user is held, a stopper for a track disposed on the pair of first tracks for limiting a movement range of the second track, and a stopper for a holder disposed on the second track for limiting a movement range of the second pair of first tracks, wherein the first axis and the second axis are disposed with an inclination.

A walking training system includes a treadmill, a center-of-gravity position detection unit that detects a center-of-gravity position of a trainee from a load received from a sole of the trainee on a belt of the treadmill, a posture detection unit that detects a posture of the trainee, a center-of-gravity position estimation unit that estimates the center-of-gravity position of the trainee from the detected posture of the trainee, a determination unit that determines whether a difference between the detected center-of-gravity position and the estimated center-of-gravity position exceeds a predetermined value, and a notification unit that sends, when the determination unit determines that the difference exceeds the predetermined value, a notification notifying that whether the difference exceeds the predetermined value.

An exercise assembly includes a treadmill that has a belt which can be walked upon. The belt has a braking mechanism and the braking mechanism inhibits the belt from being moved thereby presenting resistance to a user attempting to walk on the belt. A set of pull bars is coupled to and extends upwardly from the treadmill for simulating pulling a heavy object. A set of push bars is coupled to and extends upwardly from the treadmill to simulate pushing a heavy object. A spool is rotatably integrated into the treadmill and the spool is in mechanical communication with the braking mechanism such that the spool resists being rotated. A rope is wrapped around the spool and the rope resists being pulled on by the user when the user walks on the treadmill for simulating pulling a heavy object with the rope.

The device comprises a belt (3) on which is mounted a first sensing module (4), with: a) a hitch (6) for connecting a recovery component part (7) such as a spring; b) a first movement sensing unit (8) to detect 3D movement; c) a force sensing unit (9) to detect the force exerted by the recovery component part (7) upon the hitch (6); in which the movement and force data are processed and sent wirelessly via a data transmission unit (11); and d) first means of closure (13,14), to close the belt (3) to a required dimension. Allows simultaneous and coordinated consideration of force and movement data.

Sensor data is collected from a sensor monitoring a tension generating device of an exercise machine. The sensor data is analyzed to determine whether the sensor data is within a specification. In the event the sensor data is not within the specification, an error stop mode is entered for the tension generating device.

System for mechanically assisting rehabilitation of a patient. The system includes: a manipulator having at least five degrees of freedom and defining a free end; a limb support for supporting a limb of the patient, and secured relative to the free end of the manipulator; a force sensor operatively connected to the limb support to allow measuring input forces applied by the patient; and a processor communicatively connected to the force sensor, the manipulator, and a memory store which defines a scale factor. The processor is configured to control operation of the manipulator to move the limb support, and further configured so that responsive to receiving an input force measurement from the force sensor, the processor determines an applied force as a function of the input force and the scale factor.