During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.

A method includes causing display, during a first time period and via a first set of multiple smart mirrors, of live video depicting at least one user associated with the first set of multiple smart mirrors, without displaying a workout video. The method also includes causing display, during a second time period following and mutually exclusive of the first time period, and via a second set of multiple smart mirrors, of a workout video and a representation of at least one user associated with the second set of smart mirrors. The method also includes causing display, during a third time period following and mutually exclusive of the second time period, and via a third set of multiple smart mirrors, of live video depicting at least one user associated with the third set of multiple smart mirrors.

A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.

A wireless power system for an exercise machine for providing electrical power wirelessly to an electrical energy storage device or electrical energy consuming device attached to a movable carriage of an exercise machine. The wireless power system for an exercise machine generally includes an exercise machine which includes a frame having one or more rails. A carriage is movably positioned upon the rails to allow an exerciser to move the carriage when performing an exercise. A wireless power receiver is attached to the carriage that wirelessly receives electrical energy transferred from a wireless power transmitter. An electrical energy storage device or an electrical energy consuming device attached to the movable carriage is electrically connected to the wireless power receiver to receive electrical power from the wireless power receiver.

Apparatus, systems, and methods for tracking the location of an individual during a fitness activity are disclosed. A method of tracking a participant engaged in a fitness activity includes determining a location of the participant during the fitness activity based on data received at a portable fitness device used by the participant; determining a location of a spectator during the fitness activity based on data received at a mobile spectator device used by the spectator; from a server, sending an alert to a spectator at a spectator device during the fitness activity indicating that the participant is within a predetermined distance of the spectator; and sending an alert to the portable fitness device during the fitness activity indicating that the spectator is within a predetermined distance of the participant.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

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.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

A pelvic floor muscle training device includes a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and one or more application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.