Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

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.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A positive exhalation pressure device increases the pressure gradient in the airways, thereby increasing oxygen saturation levels and decreasing the severity of hypoxia. Various embodiments of the device may be inserted into the nasal and/or oral cavities, or configured as mask devices covering the nasal and/or oral cavities. In some embodiments, the resistance of the device may be varied.

Embodiments of the invention relate to an intelligent shin guard (10) comprising the electronic components of a microprocessor (11), data sensors (12, 13), a memory (14), at least one wireless communication interface (15) and a power supply (17) integrated into the body of the shin guard, the wireless communication interface enabling the sending of at least a portion of data captured by the sensors with respect to a sports session.

There is disclosed a system for conducting multi-member group competitions involving physical exertion, the system includes a competition server that serves to designate a set of parameters for a competition involving at least two competing groups of individuals engaged in physical activity, the set of parameters defining a win condition requiring physical activity to be completed by at least two separate individuals within each group. The system further receives data representative of physical activity of multiple individuals in a first group, receives data representative of physical activity of multiple individuals in a second group, determines whether the win condition has been satisfied by the first group or the second group, and identifies a winner as the first group or the second group that completed the win condition.

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.

Methods and systems are provided for measuring anatomical dimensions from a single two-dimensional (2D) digital image. The digital image is taken from the front/anterior view using a mobile, handheld communication device. The linear measurements are used to estimate the body volume of the individual. Total body density is calculated from estimated body volume and body weight. Body composition (fat mass and fat-free mass) of the individual is derived from density using known mathematical conversion formulas. A method for estimating body composition analysis is provided. Systems and methods are provided that determine an individual's fitness by determining body composition of the individual using a picture of the individual, determining the individual's VO.sub.2 max based on the individual's movement (e.g., walking and/or running a measured distance over a measured amount of time), and determining the individual's fitness based on the body composition and the determined VO.sub.2 max.

Apparatus and methods for providing breath training. In illustrative embodiments, an operator creates a pressure, either positive or negative, in the lungs. This pressure is transferred through a mask assembly to a breathwork apparatus, which utilizes pistons moving within cylinder volumes to provide numerical feedback to an operator regarding the operator's breathing. Through breath control exercises, the operator of a breathwork apparatus can develop deeper and slower breathing habits which are more efficient. One embodiment provides a breathwork apparatus comprising an exhalation side; a transfer case; an inhalation side; and, a mask assembly, wherein the exhalation side and inhalation side are joined by transfer case which comprises a plurality of channels, such that at least a first channel of a plurality of channels terminates in an exhalation rate meter, and at least a second channel of the plurality of channels terminates in an inhalation rate meter.