Systems and methods are for production, management, syndication and distribution of digital assets through a network such as the Internet or wireless network. Digital media assets are distributed to consumers through a syndicated network of Outlets under control of a central platform. Distribution is format agnostic. There is a single platform between the B2B2C, wherein a platform allows, through a single access for each stakeholder, the ability to each have control over availability dates and pricing specifications to a plurality of merchants and/or subscription outlets or channels. Subscription channels can support micro-subscriptions with diversely curated and priced offerings, including acceptance of crypto-currency. The delivered media assets may include content associated with an exercise apparatus, including content for an exercise session including computer generated content and computer augmented content created in response to exercise session data.

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.

A treadmill includes a frame. A running belt is coupled to the frame so that the running belt is adapted for rotation relative to the frame. At least one sensor is adapted for collecting parameter information regarding the experience of a user of the treadmill. The parameter information is selected from the group consisting of the user's heart rate, total expended calories, stride length, stride force, cadence, pace, distance, resistance level, incline level, carver count, carver cadence, step count, ground contact time, relative position within a race, and relative position on the treadmill. The treadmill also includes at least one light source that is adapted to selectively communicate information to an instructor relating to the parameter.

Computing device enhanced training environment system comprising a computing device, I/O subsystem for permitting a user to enter at least one attribute of the training or of the trainee, a plurality of sensors for generating sensory information, a training environment in which a training activity takes place, a database containing training related information. The computing device enhanced training environment system configured for at least one of the following: design a training program for a plurality of users, monitor training program performance, monitor training performance, instruct a user about the training, determine and/or set difficulty level in training apparatus.

Methods and systems for calibrating a level of intensity of a fitness exercise given a target effort value facilitate optimal exertion for an individual performing the fitness exercise. An instantaneous effort value is determined based on measured real-time and historical data and communicated to the individual. An aspect of the fitness exercise is adjusted based on a difference between the instantaneous effort value and a target effort value.

An exercise machine monitoring and instruction system for the movement of an element of an exercise machine by an exerciser and providing automated feedback to the exerciser to help improve the exercise in real-time. The exercise machine monitoring and instruction system generally includes an exercise machine having a movable element that moves between a first position and a second position in a reciprocating manner, a sensor that detects a real-time position of the movable element, a processor in communication with the sensor to receive the real-time position data from the sensor related to a position of the movable element and a feedback device in communication with the processor that provides real-time instructions to the exerciser on how to adjust their workout to achieve a desired result.

A system and method are disclosed for modularly scheduling learning events in a modular learning system. Information about application services and microlearning events are stored in the modular learning system, with each microlearning event comprising a plurality of learning applications associated with the application services. The modular learning system receives a request from an organizing user to organize a microlearning event, and in response the modular learning system generates a set of services compatible with the event.

An exercise machine (100) used to perform physical activity includes at least one control device (1) which can be actuated by the user to impart a command to the exercise machine (100). The exercise machine (100) includes at least one lighting device (2), the at least one lighting device (2) being positioned on the exercise machine (100) so as to identify the at least one control device (1) with which the exercise machine (100) is provided when the at least one lighting device (2) is lit.

The present invention provides group performance monitoring systems and methods. In one exemplary embodiment, a system for monitoring a plurality of individuals engaged in an activity includes a base station, a plurality of individual monitors configured to communicate wirelessly with the base station, a plurality of sensors, each sensor in communication with an individual monitor, each configured to be coupled to an individual, and each configured to sense a characteristic of the individual and to transmit, during the activity, data indicative of the characteristic to the individual monitor, and a group monitoring device configured to communicate wirelessly with the base station, wherein each individual monitor is configured to transmit, during the activity, the data to the base station, wherein the base station is configured to receive the data and to transmit, during the activity, a metric based on the data to the group monitoring device, and wherein the group monitoring device is configured to display a representation of the metric.