A display apparatus includes a controller for obtaining image information using an image obtainer; obtaining body images of a user based on the received image information; receiving menu information of at least one of a somatotype mode or an exercise purpose through an inputter; obtaining parameters for each part of a body based on the obtained body image; adjusting at least one of the obtained parameters for each part of the body based on the received menu information; changing an image for each part of the body among the body images based on the adjusted parameter; and displaying the changed image through a screen.

Tracking information is provided from one or more mobile communications devices indicating fitness activity recorded on personal fitness devices of multiple users over a predetermined baseline period of time. A mobile communications device of a challenging user communicates a fitness challenge that is to occur over a predetermined challenge period of time to one or more challenged users. Leveled challenged fitness metrics of the challenging user and of the challenged user is computed based on fitness activity of the challenging user and the challenged user that occurs during the challenge period of time and during the baseline period of time. The leveled challenged fitness metrics are communicated to the mobile communication devices upon completion of the challenge period of time to indicate a winner of the challenge.

An apparatus comprising means configured to: determine, based on data representative of a current health state of a first user of a first exercise apparatus, settings for one or more exercise variables of the first exercise apparatus, wherein the settings are tailored to the first user's current health state; and provide the determined settings for configuration of the first exercise apparatus.

A display apparatus includes a controller for obtaining image information using an image obtainer; obtaining body images of a user based on the received image information; receiving menu information of at least one of a somatotype mode or an exercise purpose through an inputter; obtaining parameters for each part of a body based on the obtained body image; adjusting at least one of the obtained parameters for each part of the body based on the received menu information; changing an image for each part of the body among the body images based on the adjusted parameter; and displaying the changed image through a screen.

An apparatus comprising means configured to: determine, based on data representative of a current health state of a first user of a first exercise apparatus, settings for one or more exercise variables of the first exercise apparatus, wherein the settings are tailored to the first user's current health state; and provide the determined settings for configuration of the first exercise apparatus.

The present disclosure includes collecting motion data that is obtained at the time of a setting motion of a user using N sensors which are individually attached to N regions, for a plurality of users; doing deep learning of the motion data, and acquiring reference motion ranges of each region; acquiring the motion data using M sensors that are attached to M regions of the learner during the setting motion of the learner, comparing with the reference motion ranges, and guiding a motion of the learner by providing comparison results; comparing the amount of exercise of the learner with a reference amount of exercise, if the motion data of each of the M regions satisfies all corresponding reference motion ranges; and providing a notification message which induces attachment of an additional sensor, if the amount of exercise of the learner does not satisfy the reference amount of exercise.

Techniques for configuring an exercise machine to operate according to a predefined workout regimen are described. The exercise machine includes exercise apparatus portion that is controlled and configured at least in part by a computing system portion. The computing system receives an operator selection of a selected predefined workout regimen, and operator data including at least operator gender, operator height and operator age and the computing system retrieves parameter data to configure an exercise instruction that is part of the selected workout regimen. The parameter data is retrieved from a database that stores at least range of motion data and maximum weight data searchable by a cohort, e.g., gender/height cohorts or gender/age cohorts and converts the retrieved parameter data into settings data to configure corresponding portions of the exercise apparatus according to the configured exercise instruction.

A treadmill system includes a deck, an endless tread belt covering at least a portion of the deck, and a motion transducer positioned to detect movement of the tread belt. The treadmill system also includes a processor and memory where the memory includes instructions executable by the processor to receive an output of the motion transducer, determine an exercise type performed on the tread belt, and calculate an amount of work performed by a user on the tread belt based on the output of the motion transducer and the determined type of exercise.