Control system of a cycling simulation device, said device comprising a support frame, with which a user carries out training by acting on the pedals of said bicycle, a flywheel rotating around a main shaft, connected to said coupling members, and a braking device, acting on said flywheel, comprising: a control logic unit, capable of connecting in transmission and reception with a remote device, by which a user can set one or more training parameters, and a torque sensor for detecting and sending to said control logic unit a signal related to the torque acting on said main shaft during the rotation of said flywheel, and said control logic unit being configured so as to adjust the braking force exerted by said braking device on said flywheel as a function of training parameters and of signal related to the torque acting on said main shaft detected by torque sensor.

A leg stretching apparatus can be safely used without a risk of damage, with a simple coupling and can be conveniently installed at a site at which leg stretching is desired to enable efficient leg stretching. The leg stretching apparatus includes a fixing plate in which a first fixing plate, which includes a plurality of coupling grooves, and a second fixing plate, which includes a plurality of coupling protrusions corresponding to the coupling grooves, are detachably configured. A fixing part has one end coupled to the first fixing plate and another end equipped with an adjusting part. An elastic string has one end fixed to the fixing part and another end extending in a longitudinal direction of the fixing part, and opposingly branched with two free end portions behind the first fixing plate. A moving part is installed at the second fixing plate to guide the branching of the elastic string.

A treadmill includes a running belt defining a non-planar running surface, and a motor operatively coupled to the running belt. The treadmill is operable in plurality of operating modes to control a user experience.

An exercise apparatus includes a frame and a load mechanism disposed on the frame. The load mechanism has a plurality of selectable weights with each of the selectable weights having an associated indicator device. A press is mechanically coupled to the load mechanism to displace a load based on a selected weight and a sensor is disposed to measure an extent and speed of displacement of the load. A processor is in communication with the sensor, and the processor is configured to determine an indicator signal to send to the indicator device of one of the plurality of selectable weights of the load mechanism based on received performance data, the indicator signal used to indicate which one of the plural of weights to select.

An exercise apparatus for targeting the hip muscles is disclosed. The apparatus consists of a plurality of supports, a footboard, and a belt wherein elastic bands may be attached to the belt and to the base supports to provide resistance. The apparatus is fully adjustable for targeting muscles of interest, and collapsible for ready transport. Adjustable handles are optionally provided to maintain user stability and thus maximize the effectiveness of the exercise. A method of using the exercise equipment is also provided.

A variable-resistance exercise machine with network communication for smart device control and brainwave entrainment, comprising an exercise machine with a plurality of moving surfaces, that each provide an independent degree of resistance to movement, a sensor that detects movement and provides output to a controller, a brainwave entrainment manager that selects a brainwave entrainment frequency based on the sensor output, and a controller that receives an input from a user device, changes the operation of the plurality of moving surfaces based on the input, and sends the brainwave entrainment frequency to the user device.

A variable-resistance exercise machine with network communication for smart device control and brainwave entrainment, comprising an exercise machine with a plurality of moving surfaces, that each provide an independent degree of resistance to movement, a sensor that detects movement and provides output to a controller, a brainwave entrainment manager that selects a brainwave entrainment frequency based on the sensor output, and a controller that receives an input from a user device, changes the operation of the plurality of moving surfaces based on the input, and sends the brainwave entrainment frequency to the user device.

An exercise device of the type including a frame with a first crank assembly rotatably coupled to the frame about a first axis and a second crank assembly rotatably coupled to the frame about a second axis. A control system may be used in communication with the first crank assembly and the second crank assembly, which may provide a synchronous movement of the first crank assembly relative to the second crank assembly. A pedal arm may be provided with a first end pivotally coupled to the first crank assembly and a pedal positioned on a second end. A crank link may be used with one end coupled to the second crank assembly and a second end coupled to the pedal arm. The crank link may be movable on the pedal arm which may provide varying paths of motion of the pedals.

A stationary exercise device includes a support structure and one or more input members such as pedals, handles, or other feature movably connected to the support structure. A movable output member such as a wheel is movably mounted to the support structure, and operably connected to the one or more input members such that movement of the one or more input members causes the output member to move. A resistance member interacts with the output member when the output member is moving to generate a variable resistance force tending to prevent movement of the output member. The variable resistance force may at least partially simulate the effects of inertia and/or momentum.

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.