A rowing machine is disclosed. The rowing machine includes a frame including a base for contact with a support surface and a seat rail supported by the base. The rowing machine includes a seat configured to reciprocate back and forth along the seat rail. The rowing machine includes a rowing engine that includes at least one resistance mechanism rotatably coupled to the frame. The rowing machine includes at least one handle operatively connected to the at least one resistance mechanism, and a paddle linkage assembly operatively connecting the at least one handle to the at least one resistance mechanism such that rearward movement of the handle is resisted by the at least one resistance mechanism.

It is provided an apparatus for training a person's lower and/or upper extremities, comprising at least two motion elements which are arranged on a base element, wherein the motion elements each have an axis of rotation around which an actuating element can be moved. The motion elements each are independently movable relative to the base element about a first axis of movement, wherein the first axis of movement extends substantially perpendicular to an extension surface of the base element. Each motion element has a separate drive in order to rotate the actuating elements about the axis of rotation, and that the apparatus includes a control element which can individually actuate each drive in order to provide for a movement of each drive independent of a movement of another drive.

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

According to one example, an exercise system includes a vertical housing, a first weight system coupled to a first upper weighted touchpoint, a second weight system coupled to a second upper weighted touchpoint, a third weight system coupled to a first lower weighted touchpoint, and a fourth weight system coupled to a second lower weighted touchpoint. The exercise system further includes a control system that is configured to cause the first weight system to provide weight to the first upper weighted touchpoint independent of each of the second, third, and fourth weight systems, and cause the third weight system to provide weight to the first lower weighted touchpoint independent of each of the first, second, and fourth weight systems. The first upper weighted touchpoint and the first lower weighted touchpoint may allow the user to exercise the first arm and the first leg of the user simultaneously.

A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A rowing machine comprising: a main body portion extending along a longitudinal axis from a first end of the rowing machine to a second end of the rowing machine; a seat portion; a handle portion; the seat portion and handle portion configured to enable a user to simulate a rowing motion during use of the rowing machine; wherein the rowing machine comprises at least one mechanism configured for transferring a pitching motion to a user relative to said longitudinal axis, during use of the rowing machine.

A circular exercise device for exercising via hand and foot connections.

An aqua resistance fin assembly comprises two fin components and at least one fastening member for fitting the fin components to a user's limb in a side-by-side configuration around the limb. Each fin component comprises a base adapted to fit against a user's limb and adapted to be secured to the user's limb by the fastening member, and at least two longitudinal fins and at least one lateral fin on an outer side of the base.

An exercise device featuring a pair of knee joints, each pivotally and respectively coupled to a pair of calf linkages, each of the pair of calf linkages having a foot pedal at an opposite lower end that supports low impact user-defined natural exercise gait patterns. The knee joints are supported and directed to travel by linkage and/or carriage systems that operate substantially below a user hip area and direct the knee joints in a variety of travel paths, ranging from a constant arc, a linear pathway, to a variety of irregular arc shaped paths to pathways that may change during use. A secondary system coupled to the linkage and/or carriage systems provides lift and dampening forces to influence a responsiveness of the foot pedals via bending and straightening of the calf linkage about the respective knee joint, yet does not restrict back and forth travel of the respective knee joint.