The present disclosure relates to an apparatus and method for automatically adjusting an exercise prescription based on an exercise heart rate. The apparatus includes: a heart rate detection device, configured to detect a resting heart rate and a user's real-time exercise heart rate; an exercise movement library, configured to store various exercise instruction video and audio, and provide movement guidance for the user; an exercise guidance module, configured to retrieve and display movement video and audio from the exercise movement library to the user; and a central processing unit (CPU), configured to acquire the resting heart rate and the user's real-time exercise heart rate, calculate an effective exercise target heart rate range based on the resting heart rate, determine whether the real-time exercise heart rate falls within the effective exercise target heart rate range.

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.

Monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Methods, systems and devices are provided for providing user interface navigation of screen display metrics of a device. In one example, a device is configured for capture of activity data for a user. The device includes a housing and a screen disposed on the housing to display a plurality of metrics which include metrics that characterize the activity captured over time. The device further includes a sensor disposed in the housing to capture physical contact upon the housing. A processor is included to process the physical contact to determine if the physical contact qualifies as an input. The processor enables the screen from an off state when the physical contact qualifies as the input. The screen is configured to display one or more of the plurality of metrics in accordance with a scroll order, and a first metric displayed in response to the physical contact that qualifies as the input.

The present invention discloses a method for providing an exercise guiding. Determine at least one mathematical correspondence to divide a coordinate plane into a plurality of regions for defining a plurality of two-dimensional exercise training zones, wherein the coordinate plane has a first axis based on a first parameter of a fitness performance level and a second axis based on a second parameter of an exercise intensity. Transform the plurality of two-dimensional exercise training zones into a plurality of one-dimensional exercise training zones of a current value of the fitness performance level for a user having the current value of the fitness performance level. Provide the exercise guiding for the user according to the plurality of one-dimensional exercise training zones.

Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.

A system for monitoring the cardiopulmonary functioning of a person includes a remote terminal and a sensor module configured to be worn by the person. The sensor module includes at least one physiological sensor configured to sense the following types of physiological information generated by the person: pulse rate, blood flow, and blood pressure; at least one signal processor configured to process signals generated by the at least one physiological sensor; and at least one transmitter responsive to the at least one signal processor that is configured to transmit at least one signal to the at least one remote terminal. The at least one signal processor is configured to focus processing resources on one of the types of physiological information in response to a specified preference by the person.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

An earpiece monitor configured to be worn by a subject includes a battery, an earpiece fitting configured to be inserted within an ear canal of an ear of the subject, a reflective pulse oximeter configured to measure pulse rate and pulse intensity of the subject, a motion sensor configured to monitor footsteps and head motion of the subject, a digital memory for storing at least one algorithm, and a processor configured to process signals from the reflective pulse oximeter and the motion sensor using the at least one algorithm to generate as assessment of a health state of the subject. The earpiece fitting is configured to transmit sound to the inner ear or eardrum of the subject. The assessment of the health state of the subject may include an assessment of subject physiological stress and/or an assessment of overall subject health.

An apparatus for estimating an anaerobic threshold may include a heart rate detector configured to detect a heart rate from a signal sensed from a user, and an anaerobic threshold estimator configured to estimate an anaerobic threshold of the user based on a change in the detected heart rate.