The training machine assembly comprises at least one control device and at least one training resistance. Each of the at least one training resistance comprises at least one training resistance value, such as a force applied towards the user contact element, e.g. a handle. The training resistance value can also comprise a function or a vector, for example a function linking a speed of movement of a user and/or a user contact element and a force applied against said movement. The control device can be a control device for controlling the training machine assembly. The training resistance can comprise an actuator. The actuator can comprise an electric motor. The training resistance can comprise a weight. The training resistance can comprise another element configured to provide a resistance against a movement of the user. The training machine assembly can comprise at least one camera.

Systems and methods are for production, management, syndication and distribution of exercise class content for use with an exercise apparatus. An exercise content distribution system includes a database storing the exercise content and data associated with a content provider and an application provider, and a platform server operable to facilitate delivery of the exercise content to the exercise apparatus. The platform server is configured to deliver archived exercise classes, receive a selection of one of the archived exercise classes, transmit data representing content of the selected archived exercise class, receive performance data based on activity by the first user, generate archived performance data for a plurality of other users, and dynamically update a ranked list and at least some of the synchronized archived user performance parameters for display by the exercise apparatus. Subscription channels can support diversely curated and priced exercise class offerings, including acceptance of crypto-currency.

Stationary exercise machine configured to execute a programmed workout with aerobic portions and lifting portions. In one embodiment, a stationary exercise machine may include an aerobic exercise element configured to be movable during execution of a programmed workout, a display, one or more processors, and memory. The memory may be configured to store programmed instructions of the programmed workout that, when executed by the one or more processors, cause the one or more processors to: automatically alternate, by the programmed instructions of the programmed workout, between aerobic portions and lifting portions, automatically control, by the programmed instructions of the programmed workout, a speed, or a resistance level, of the aerobic exercise element during the aerobic portions, automatically present, by the programmed instructions of the programmed workout, lifting instructions on the display, the lifting instructions configured to instruct a user on lifting one or more free weights during the lifting portions.

A plurality of control sequences is stored. A user state is detected. A next control sequence associated with the user is selected from the plurality of control sequences based at least in part on the user state.

A bicycle trainer including folding legs and a vertically adjustable frame member supporting an axle and cassette where a rider mounts the rear frame, such as dropouts, of a conventional bicycle with the rear wheel removed. The trainer includes a flywheel with a magnetic brake assembly controlled through an open protocol and configured to receive wireless transmitted signals from an app running on a smart phone or other such applications. The flywheel assembly also includes a bracket coupling the magnetic brake with a frame. A strain gauge is mounted on the bracket to detect torque, which is used to calculate a rider's power while using the trainer.

The present disclosure relates to an apparatus and method for automatically adjusting an exercise prescription based on an exercise heart rate. The apparatus includes: a heart rate detection device, configured to detect a resting heart rate and a user's real-time exercise heart rate; an exercise movement library, configured to store various exercise instruction video and audio, and provide movement guidance for the user; an exercise guidance module, configured to retrieve and display movement video and audio from the exercise movement library to the user; and a central processing unit (CPU), configured to acquire the resting heart rate and the user's real-time exercise heart rate, calculate an effective exercise target heart rate range based on the resting heart rate, determine whether the real-time exercise heart rate falls within the effective exercise target heart rate range.

The present disclosure relates to an apparatus and method for automatically adjusting an exercise prescription based on an exercise heart rate. The apparatus includes: a heart rate detection device, configured to detect a resting heart rate and a user's real-time exercise heart rate; an exercise movement library, configured to store various exercise instruction video and audio, and provide movement guidance for the user; an exercise guidance module, configured to retrieve and display movement video and audio from the exercise movement library to the user; and a central processing unit (CPU), configured to acquire the resting heart rate and the user's real-time exercise heart rate, calculate an effective exercise target heart rate range based on the resting heart rate, determine whether the real-time exercise heart rate falls within the effective exercise target heart rate range.

One or more apparatuses are provided. In an example, an exercise machine is provided. The exercise machine may include one or more driving elements connected to one or more motors controlled by a computer. The one or more motors may be configured to provide an electromechanical resistance via the one or more driving elements. The electromechanical resistance may be controlled by smart algorithms running on the computer such that variable resistance is provided at different parts of movement. The algorithms may use readings from one or more sensors. The exercise machine may include a controller configured to control the motor based upon one or more inputs. The exercise machine may include an exercise bar. The exercise machine may include a screen. The exercise machine may include safety actuators. The exercise machine may be fixed on its place or may be portable. The exercise machine may include electromechanical safety stand(s).

A method for controlling an exercise machine using a video workout program including encoding, remotely from the exercise machine, exercise machine control commands into a subtitle stream of a video to create the video workout program, wherein the exercise machine control commands are encoded at least once per second, decoding, locally to the exercise machine, the subtitle stream of the video to access the exercise machine control commands, displaying, locally to the exercise machine, the video, and controlling, locally to the exercise machine, one or more moveable members of the exercise machine using the exercise machine control commands.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.