Apple Inc.

Saumil B Patel

Gutemberg B Guerra Filho

Behrooz Mahasseni

Stefan Auer

Andreas N Bigontina

A method includes obtaining one or more images associated with a user. The method further includes generating, using a body-assessment classifier, one or more body-assessment vectors. Each of the one or more body-assessment vectors is a function of a particular one of the one or more images. The one or more body-assessment vectors include quantitative physique and biometric assessments associated with the user. The method further includes displaying, on the display, a body-assessment indicator that is based on the one or more body-assessment vectors.

Fitness system

A method includes obtaining a set of images that correspond to a person. The method includes generating a body pose model of the person defined by a branched plurality of neural network systems. Each neural network system models a respective portion of the person between a first body-joint and a second body-joint as dependent on an adjacent portion of the person sharing the first body-joint. Providing the set of images of the respective portion to a first one and a second one of the neural network systems. The first one and second one correspond to adjacent body portions. The method includes determining, jointly by at least the first one and second one of the plurality of neural network systems pose information for the first respective body-joint and the second respective body-joint.

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San Jose, CA, United States of America

Saumil B Patel