Apple Inc.

Siji Rachel Tom

Christopher Daryl Soli

Kevin M Lynch

Craig P Dooley

Jay C Blahnik

Gordon Y Scott

Chen Ganir

Catherine B B Morrison

Kevin Sheridan

Meghna Lav

Jorge Morinigo

Aidan O'Loan

Pablo F Caro

Matthew Wagner Crowley

Jay Kriz Blahnik

Daniel S Keen

Dmitri Cavander

Aaron P Thompson

Heather E Daniel

Eric D Schlakman

Pratik Solanki

Tasha R Klubock

Jed R Cohen

Nicholas D Felton

Aroon Pahwa

Evan Russell Doll

Paul W Salzman

Charmian Bondoc Naguit

Zhe Li

Ruchi Goswami

Suhail Ahmad

James D Dusseau

Karim Benhmida

The present disclosure generally relates to health-related user interfaces. In some embodiments, user interfaces for managing health-related data are described. In some embodiments, user interfaces for viewing health data are described. In some embodiments, user interfaces related to sharing health data are described.

Health application user interfaces

A method of generating a calibration factor is described. In an example, the method may include establishing a wireless communication connection with a fitness machine. The method may also include obtaining first machine data from the fitness machine. The first machine data may specify a type of the fitness machine. The method may also include initiating a workout session on the wearable computer based on the first machine data. During the workout session, the method may also include obtaining sensor data, obtaining second machine data, and determining the calibration factor based on the second machine data and the sensor data. The method may also include generating a workout session summary based on the calibration factor.

Wearable computer with fitness machine connectivity for improved activity monitoring

Embodiments are disclosed for a wearable computer with fitness machine connectivity for improved activity monitoring. In an embodiment, a method comprises: establishing, by a processor of a wireless device, a wireless communication connection with a fitness machine; obtaining, by the processor, machine data from the fitness machine; determining, by the processor, a workout session according to the machine data; initiating the workout session on the wireless device; during the workout session: obtaining, from a sensor of the computing device, physiological data of a user of the fitness machine; determining, by the processor, fitness data for the user based on the physiological data, the machine data and at least one user characteristic; and sending, by the processor, the fitness data to the fitness machine.

Systems, methods, and computer-readable medium are provided for providing dynamic rule-based messages. For example, a user device may identify physical activity information. Based at least in part on the activity information, the device may determine whether a physical activity goal has been reached. The device may determine whether to present a dynamic progress update message based at least in part on a time since a first activity message was presented and whether the physical activity goal has been reached. In some instances, when it is determined to present the dynamic progress update message, the device may access a data structure configured to maintain progress update information associated with respective time intervals. The device may then retrieve the dynamic progress update message that corresponds to a particular time interval from the data structure. The device may also present the message for the particular time interval.

Dynamic rule-based notifications

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Sunnyvale, CA, United States of America

Siji Rachel Tom