Systems and methods for tracking performance are provided. A method includes monitoring a first amplitude of a first muscle activity for a plurality of time. The method includes generating a plurality of measures of neuromuscular work for the plurality of time points using the first amplitude. The method includes determining a plurality of muscle activation quotients for the plurality of time points, using the plurality of measures of neuromuscular work. The method includes defining a plurality of muscle activation zones using the plurality of muscle activation quotients, wherein individual muscle activation zones correspond to ranges of values of the plurality of muscle activation quotients. The method includes generating a visualization of the plurality of muscle activation quotients and the plurality of muscle activation zones for the plurality of time-points. The method also includes outputting the visualization to a display.

Systems and methods for enhancing infection detection and monitoring through decomposed physiological data are disclosed. An example method includes receiving, from a wearable device of a user, physiological data of the user and decomposing the physiological data, by applying a heart rate algorithm, to generate one or more physiological parameters. The example method further includes analyzing, by applying the heart rate algorithm, the one or more physiological parameters to output a period classification, and determining whether or not the period classification is indicative of an infection. The example method further includes, responsive to determining that the period classification is indicative of the infection, displaying, in a user interface, a warning to the user that indicates the infection, and receiving, from the wearable device of the user, additional physiological data of the user to monitor the infection.

In one aspect of the disclosure, a method that involves keeping state of a video workout program may include communicatively coupling a server in a cloud network to an exercise machine through a first network connection, communicatively coupling the server to a network device through a second network connection, the server providing a video workout program to the exercise machine for execution at the exercise machine to enable a user to perform at least a portion of a workout of the video workout program on the exercise machine, the server keeping state of the video workout program during execution of the video workout program based on inputs from the exercise machine and the network device, and taking an action based on the state. The action may include synchronizing multiple displays, adaptively scaling the video workout program, and/or generating and providing an exercise machine control command to the exercise machine.

An imaging system, comprising a shooting operation interface that operates to form an image of a subject, and a processor that has a bio-information acquisition section and a stress determination section, wherein the bio-information acquisition section acquires bio-information of an operator when, during shooting awaiting action where an instant for acquiring still images is awaited, the shooting operation interface is operated, and the stress determination section determines stress conditions that shooting actions place on the operator based on the bio-information that has been acquired using the bio-information acquisition section.

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.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Systems and methods for facilitating exercise monitoring are provided. A representative method includes: using a processor, having processor circuitry, to: compute an orientation change of the single wearable device based on the motion readings; determine a current training type and a target status associated with the current training type based on the schedule of training types; select one of the computing models associated with the current training type; compare the set of matching orientation changes corresponding to the current training type and the orientation change of the single wearable device with respect to a determination threshold corresponding to the current training type until the target status associated with the current training type has been attained; and compute an exercise amount associated with the current training type based on the target status attained.

A method for monitoring health of a subject based on a physiological response to physical exertion, by processing circuitry of a medical device system, is described that includes detecting a plurality of exertion events of the subject based on a first sensed signal that varies as a function of movement of the subject. The method further includes determining a response of a physiological parameter of the subject to the exertion event for each of the detected exertion events based on second sensed signal that varies as a function of the physiological parameter. The method further includes determining that a change in the responses over time crosses threshold and generating an alert to a user based on the determination that the change crosses the threshold.