An exercise treadmill is disclosed. The treadmill can include one or more sensors to acquire input data. A computer system can trigger one or more actions based on the input data. The input data can correspond to a lengthwise position of the user along a length of a usable surface of the platform and/or a lateral position of the user on the belt. The action(s) can include providing feedback to the user and/or adjusting rotation of the belt and/or a resistance of rotation of the belt. The adjustment can be performed in response to input from a user control requesting the adjustment.

A stationary exercise device with a driving assembly with a driving wheel rotating around a driving axle, a first and a second crank each connected to the driving wheel and two pedals, each connected to one of the cranks, a flywheel connected to the driving assembly by at least one gear mechanism, a brake assembly for applying a braking force to the flywheel, at least one measuring device for measuring the position of the first and second crank is provided. A detection device detects several time intervals, in each of which the flywheel is displaced a predetermined angle, the detection device further detects time differences between at least two of the time intervals. A control device determines, through dependence of the time differences between at least two of the time intervals, a torque at the driving wheel or a value dependent on the torque at the driving wheel.

A multimodal human-robot interaction system for upper limb rehabilitation, including an electroencephalography signal acquisition and processing module, a robot module, a comprehensive affected upper limb muscle signal acquisition and processing module, a rehabilitation training evaluation module, and a virtual reality module. The electroencephalography signal acquisition and processing module captures a motion intention of a patient by means of electroencephalography signals to trigger rehabilitation training. The robot module assists an affected upper limb with rehabilitation exercise. The comprehensive affected upper limb muscle signal acquisition and processing module acquires and obtains a comprehensive assessment of the affected upper limb. The rehabilitation training evaluation module is used for processing and analyzing the comprehensive assessment of the affected upper limb, so as to obtain a quantitative evaluation of the affected upper limb during rehabilitation training. The virtual reality module is used for displaying a virtual environment for rehabilitation training, and interacting with the patient.

Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video, execute the video set to a first difficulty level, receive a second difficulty level, and execute the video reset to the second difficulty level.

A method provides an interactive training environment for athletic activities performed on an exercise device. A workout plan is selected or generated, having a plurality of sequential intervals, each having at least one training parameter, such as intensity. A virtual training world is generated, having a virtual training surface divided into a plurality of sequential intervals, each interval having an inclination that is a function of the training parameter associated with the respective intervals of the workout plan. World features, which may include turns in the training surface, may be pseudo-randomly generated. A visual representation of the virtual training world is displayed and represents a participant position in the virtual training world. The participant position is synchronized based on speed, distance traveled, or elapsed time. Feedback indicia are displayed to the participant, such as interval markers indicating borders or transitions between the sequential intervals.

Climber exercise machine comprises a frame connected to a base through a base connection, the frame pivotable about the base connection. A right handle and a left handle are connected to respective right and left sides of the frame, the right handle moving within a first range of motion, the left handle moving within a second range of motion. A right pedal and a left pedal are connected to the respective right and left sides of the frame, the right pedal moving within a third range of motion, the left pedal moving within a forth range of motion. The right handle, the left handle, the right pedal, and the left pedal movable generally in the same plane. An angle between the frame and a plane parallel to an underside of the base is adjustable while the climber exercise machine is mounted by a user.

In various embodiments, a treadmill system may include one or more custom treadmill hardware devices and one or more accompanying pieces of software which may be configured to work in tandem to simulate one or more virtual terrains within a game on a physical treadmill. In particular embodiments, the system is configured to enable a user to control a direction of a virtual avatar as the avatar traverses the virtual terrain (e.g., while the user is using the treadmill). The system may then be configured to manipulate the treadmill (i.e., incline of the treadmill, speed of the treadmill, etc.) based on the terrain that the avatar is currently traversing. The system may utilize one or more imaging devices to identify particular gestures performed by the user. In this way, the system may be configured provide hands free control to the user while the user is using the treadmill.

A measurement system includes a motion capture system comprising at least one motion capture device configured to detect the motion of one or more body portions of a system user and generate output data; a sensory output device, the sensory output device configured to generate sensory feedback for delivery to the system user; and at least one data processing device operatively coupled to the motion capture system and the sensory output device, the at least one data processing device further configured to determine, by utilizing a trained neural network, one or more poses and/or movements of the one or more body portions of the system user from the motion capture output data, and to provide sensory feedback to the system user, by means of the sensory output device, as to conformity of the one or more poses and/or movements to one or more reference poses and/or movements.

A system and method for correlating a video content presentation rate with an exercise machine operation rate is disclosed. A preferred embodiment of the apparatus is an interactive video system that adapts easily to use with a wide range of gym equipment utilizing a video presentation device that includes an accelerometer and/or camera. The camera embodiment utilizes vision algorithms to determine periodicity and motion orientation prior to modifying the input as a function of the type of exercise equipment is being utilized, in order to determine a cadence. In one embodiment the camera does not rely on seeing the limbs being exercised but utilizes the observation that even highly trained athletes have a degree of extraneous motion of their theoretically immobile body parts during exercise. A prerecorded video presentation is modulated by sensing proximate vibrational energy to determine cadence in the case of the accelerometer.

Provided is a virtual road surface implementation-type bicycle simulator. The virtual road surface implementation-type bicycle simulator according to the present disclosure includes a rear wheel support portion that supports a rear wheel of a mounted bicycle and rotates together with rotation of the rear wheel; and a road surface implementation portion including a plurality of uneven portions that perform a protrusion operation at various heights on an outer peripheral surface of the rear wheel support portion in contact with the rear wheel, thereby providing a rider riding the bicycle with various road surface states which are virtually set.