A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

A seated treadmill has a structure with a front portion and a rear portion. A front roller is rotatably mounted on the front portion of the structure, a rear roller is rotatably mounted on the rear portion of the structure, and a belt circumscribes the front and rear rollers. The front and rear rollers are much closer together than prior art treadmills, typically about 10-30 inches. The treadmill may further include a remote control for controlling operation of the treadmill, and a shutoff switch in the event that too much force is placed upon the treadmill, such as if the user attempts to stand on the treadmill.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A fitness device includes a main body, a left wing extending outwardly from the main body in a first direction, and a right wing extending outwardly from the main body in a second direction opposite the first direction. A cable extends from the main body to each of the left wing and the right wing. The fitness device further includes a gearbox, a spool assembly connected to an input end of the gearbox, a brake assembly connected to an output end of the gearbox, and a pulley assembly.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

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.

An interactive exercise apparatus for guiding a user to perform exercises includes a frame, a mirror, a display device, a driving mechanism, a determination unit, and a control unit. The mirror is movably mounted on the frame and configured to reflect an image of the user. The display device is disposed on a backside of the mirror and visible through the mirror. The driving mechanism is mounted between the frame and the mirror for electrically driving the mirror to move with respect to the frame. The determination unit is configured to determine location or posture of the user who performing the exercise. The control unit is operable to control the driving mechanism according to the location or posture of the user identified by the determination unit so as to control the mirror to move to a suitable position where the user can see their reflected image.

A method controls a piece of exercise equipment when a user of the exercise equipment is using a virtual reality headset. The method begins by receiving sensor inputs detecting a position of the user with respect to the exercise equipment. An operational zone of the exercise equipment is then determined. It is then identified when the user is moving toward a warning area within the operational zone of the exercise equipment. The method then sends signals to the virtual reality headset. Based on the signals, the virtual reality headset creates audible and visual outputs to instruct the user to move back fully into the operational zone of the exercise equipment.

Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.