Apple Inc.

Other

Ronald Keryuan Huang

Robert William Mayor

Lukas Michael Marti

Michael P Dal Santo

Stephen J Rhee

Patrick Steven Piemonte

Morgan J Grainger

Glenn Donald MacGougan

Lili Cao

Yefim Grosman

Jason Dere

Richard B Warren

Parin Patel

Erik C Neuenschwander

Hyo Jeong Shin

Xiaoyuan Tu

Hung A Pham

Isabel Mahe

Jeffrey Alan Bush

Patrick L Coffman

Christopher D Moore

Alexander Singh Alvarado

Krishna M Behara

Gunes Dervisoglu

Karthik Jayaraman Raghuram

Brian J Andrich

Guy Leslie Tribble

Anil K Kandangath

Adam S Howell

Daniel R Delling

Umamahesh Srinivas

Hengbin Luo

Marcos Regis Vescovi

Xufeng Han

Patrick James Coleman

Arun Godfrey Mathias

Matthew Elliot Shepherd

Christopher Tenzin Mullens

Xing Tan

Stephen P Jackson

Adeeti V Ullal

Jason Shi

Alessandro Francesco Sabatelli

Dallas Blake De Atley

Jerry Hauck

Michael A Cretella

Pejman Lotfali Kazemi

Venu Madhav Duggineni

Thomas M Alsina

Kevin M Lynch

Scott M Herz

Gregory B Novick

Emily Clark Schubert

Vinay R Majjigi

Kevin P McLaughlin

Seejo K Pylappan

Gregory R Chapman

Rudolph Van Der Merwe

Richard E Crandall

Matthew Wagner Crowley

Edward T Schmidt

Eamon Francis Gilravi

Bharath Narasimha Rao

Albert Riley Howard

Jason D Gosnell

Edith Merle Arnold

Heather E Daniel

Jonathan P Ive

Christopher J Stringer

Daniel J Coster

Matthew Dean Rohrbach

Srinivasan Nimmala

Jesse Lee Dorogusker

Longda Xing

John Patrick Ternus

Kapil Chhabra

Madhusudan Chaudhary

Sean S Corbin

Lawrence G Bolton

Gregory Thomas Lydon

Florence W Ow

Venkateswara Rao Manepalli

Jiang Ai

Elvis Mwenda Kibiti

Shannon M Ma

Brendan John Langoulant

Ryan David Shelby

Rajneesh Kumar

Andrew Nelthropp Lauder

Sean D Lubner

Faraz Faheem

William Matthew Vieta

Veerendra Boodannavar

Matthew Scott Klahn

Andrew M Wadycki

Vijay Kumar Ramamurthi

Brian Stephen Smith

Kumar Gaurav Chhokra

Chaitanya Mannemala

Andre M Boule

Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).

Determining a significant user location for providing location-based services

The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.

Systems and methods for determining swimming metrics

Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.

Labeling a significant location based on contextual data

Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.

Providing transit information

Systems, methods, devices and computer-readable storage mediums are disclosed for correcting a compass view using map data. In an implementation, a method comprises: receiving, by one or more sensors of a mobile device, sensor data; determining, by a processor of the mobile device, compass offset data for a compass view based on the sensor data and map data; determining, by the processor, a corrected compass view based on the compass offset data; and presenting, by the processor, the corrected compass view.

Correcting compass view using map data

In some implementations, a computing device can proactively determine a destination and request traffic information for routes from a starting location to the destination. In some implementations, a computing device can identify some routes between a starting location and a destination as non-recommended routes and recommend other routes. In some implementations, a computing device can rank routes between a starting location and a destination based on automatically-determined user interest. In some implementations, a computing device can determine a user is familiar with a route and adjust the information presented to the user about the route accordingly.

Providing light navigation guidance

A device in an automated environment can detect patterns in the user's interactions with accessories in the automated environment and can provide feedback to the user based on the patterns. Examples include: suggesting automation of particular actions based on the patterns; suggesting actions that conform to the pattern when the user performs part of the pattern; or suggesting changes to a pattern to conform to a preferred pattern. A state of the group of accessory devices can be changed together based on the pattern of accessory state changes for the group of accessory devices.

Automated environment providing feedback based on user routine

An application can specify a location service authorization type to be enforced by a mobile device. After the user authorizes the location service through an authorization dialog, the application can receive location service according to the authorization type. A first authorization type allows the application to receive continuous location updates and location events from a location service on the mobile device only when the application is in use. A second authorization type allows the application to always receive continuous location updates and location events when the application is running in a foreground or background. A status indicator can be displayed to indicate the authorization associated with a received location service.

Location service authorization and indication

An application manager of a mobile device can provide a user with the ability to control whether an application can use location information provided by a location subsystem of the mobile device. The application can request a current location of the mobile device and the location subsystem can provide the location of the mobile device in accordance with a location services authorization type that is assigned to the application.

Location service management

Presenting suggested routes based on local route ranking

A location control subsystem is provided that allows a user of an electronic device to define the granularity used to provide location coarseness. A user can define a coarse location granularity for an application. When a coarse device location is reported to an application, the location can be provided with at least a minimum degree of variable specificity based on the selected location coarseness. When an application is granted a coarse location, the application is to interpret the provided location indicating that the user may be anywhere within a geographic region of variable specificity, as opposed to being close to a center point with a horizontal accuracy based on the precision of the location fix, as when a fine granularity location is provided. In addition to reducing the spatial resolution of the location that is reported to the application, the temporal resolution may also be reduced.

User selectable location granularity

Growing community of inventors

San Jose, CA, United States of America

Ronald Keryuan Huang