A method of extracting and displaying postural measurements from patient data includes retrieving, by a processor of a computing device, the patient data from memory. The patient data includes a geometric mesh representation of a patient, including a plurality of data points corresponding to spatial coordinates of a plurality of vertices in three dimensions. The method also includes determining, by the processor, a reference geometry along the geometric mesh representation in a fixed position with respect to the spatial coordinates; determining, by the processor, a landmark corresponding to one of skeletal or soft tissue anatomy for the patient; and determining, by the processor, a postural deviation of a body portion of the patient by comparing the reference geometry and the landmark. The method further includes displaying, by a display of the computing device, a graphical user interface indicating a characteristic related to the postural deviation.

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.

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.

Embodiments provide functionality for determining fitness level of an individual using a fitness testing unit. In one such embodiment, an individual is instructed, via a graphical user interface (GUI) of a fitness testing unit, to perform a series of exercise activities. In turn, via the fitness testing unit, baseline heart rate, maximum heart rate, and recovery heart rate are captured while the individual is performing the series of exercise activities. Then, a fitness level of the individual is determined using an age of the individual and the captured baseline heart rate, maximum heart rate, and recovery heart rate.

A computer-implemented method includes running a training program for a user wearing a virtual reality (VR) headset; and, while running the training program: monitoring activity of the user; presenting video images in a display of the VR headset corresponding to the activity of the user; and based on said monitoring, modifying at least one aspect of said training program.

An intelligent system that automatically adjusting optimal rehabilitation intensity or exercise volume with personalized exercise prescription, comprising: upload the physiological information data measured by registered members to a cloud data integration server through the Internet; an expert diagnostic unit, which can download and use the member's physiological information data from the cloud data integration server. After the diagnosis, a personalized exercise prescription is issued and uploaded to the cloud data integration server; a rehabilitation fitness equipment unit can download the exercise prescription from the cloud data integration server to control and automatically adjust the optimal rehabilitation intensity or exercise volume; after being diagnosed by experts such as doctors, rehabilitators or fitness coaches, the optimal parameter values of a continuously updated artificial intelligence exercise prescription can be used to improve the efficacy of personal rehabilitation or exercise fitness.

An exercise system includes a workout server. An active workout session is created for a user on the workout server. An exercise information is collected for a user at a first exercise device and a second exercise device. The exercise information is tracked to the active workout session and maintained on the workout server. This allows a user to maintain a workout session across multiple devices.

A method for providing remote rehabilitation training is provided. The method includes receiving, by a server, a connection request from a user terminal and a therapist terminal, receiving, by the server, first image data, about an appearance where a user performs rehabilitation training using a rehabilitation training device, in real time from the user terminal, receiving, by the server, second image data, provided to the user who is performing the rehabilitation training, in real time from a rehabilitation training display device, and transmitting, by the server, the received first image data and the received second image data to the therapist terminal in real time.

A method for training athletes is disclosed. The method comprises: calculating an athletic signature for an athlete comprising normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete; analyzing the athletic signature; and assigning at least one training block to the athlete based on the analysis of the athletic signature.