An exercise machine inclination device for providing variable exercise intensity on an exercise machine by inclining the exercise machine. The exercise machine inclination device generally includes a base adapted for being positioned upon a floor, a support structure adapted for supporting the exercise machine, a hinge pivotally connecting the base and the support structure and an actuator connected between the base and the support structure, wherein the actuator adjusts an angle of the support structure.

This disclosure relates to using a hand held target (e.g. tae kwon do paddle) as a tool for providing physical performance instructions according to a digital workout performance template loaded in advance.

An interior bike system includes: an interior bike including a rotational angle detection sensor sensing a pedal rotation angular speed; a motion recognition sensor recognizing a head or upper body motion of a player; a heart rate measurement sensor measuring a heart rate of the player; a controller receiving and transferring sensing signals of the rotational angle detection sensor, the motion recognition sensor, and the heart rate measurement sensor to a web server; the web server determining whether performing the task motion given to the player is successful based on the signal of the motion recognition sensor of the controller, and generating a content image to which whether the player succeeds in performing the task motion is reflected and transmitting the generated content image to the content controller; and a display unit displaying an image transmitted from the web server through the controller.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

The present invention provides a method and a system for for facilitating rewarding individuals based on fitness challenges. The method and system include steps of receiving user data, analyzing the user data to generate a user account; transmitting a plurality of active fitness challenges to the at least one user device, receiving a selection; receiving a payment corresponding to the selection; receiving user activity data and personal body data; analyzing the user activity data and personal body data to generate a normalized active score; processing the normalized active score based on at least one machine learning algorithm; validating the normalized active score; generating valid normalized active score associated with the at least one user; generating a score card; generating a reward; transmitting the reward to at least winner device; and storing the reward, the user data, the valid normalized active score, the selection, the personal body data, the user activity data, and the payment.

A processing system including at least one processor may obtain at least one video of a first competitor along a competition route in a physical environment, obtain data characterizing at least one condition along the competition route as experienced by the first competitor, present visual data associated with the at least one video to a second competitor via a display device, and control at least one setting of at least one device associated with the second competitor to simulate the at least one condition, wherein the at least one device is distinct from the display device.

The disclosed embodiments are directed toward improvements in visualization of metrics generated by fitness devices. In one embodiment, a method is disclosed comprising receiving, at a fitness device over a network, activity data from a server, the activity data comprising data reported by other fitness devices during participation in an activity; extracting, by the fitness device, user data, position data, and output data from the activity data; and rendering, by the fitness device, a visualization of the activity data, the rendering comprising: rendering icons representing the user data relative to a baseline, a distance of each of the icons to the baseline determined based on the output data and spacing between the icons determined based on the position data, and rendering a curve, the curve connected to each of the icons.

A method for displaying archived exercise classes comprising displaying information about archived exercise classes that can be accessed by a first user via a computer network on a display screen at a first location, wherein the first user can select among a plurality of archived classes, outputting digital video and audio content comprising the selected archived class, detecting a performance parameter for the first user at a particular point in the selected class, displaying the performance parameter on the display screen, and displaying performance parameters from a second user at a second location on the display screen such that at least one of the performance parameters from the first user and at least one of the performance parameters from the second user at the same point in the class are presented for comparison.

A method includes providing a first video file to a plurality of exercise machines, the first video file including content associated with an exercise class. The method also includes receiving user data from the plurality of exercise machines, the user data including respective settings associated with a common performance metric. In such a method, the respective settings are used on the plurality of exercise machines during playback of a particular part of the first video file. The method also includes identifying a timestamp associated with the particular part of the first video file, and generating an executable control corresponding to the performance metric. The method further includes generating a second video file comprising the content and the executable control. In such methods, playback of the second video file causes display of the executable control at a part of the second video file corresponding to the timestamp.