Apple Inc.

Xiaoyue Zhang

Alan C Dye

Patrick L Coffman

Christopher Patrick Foss

Craig Michael Federighi

Grant R Paul

Hung A Pham

Darin Benjamin Adler

Caelan G Stack

Karthik Jayaraman Raghuram

Heena Ko

Charles Hugo Ying

Reza Abbasian

Yongjun Zhang

Brian Erik Goldberg

Kenneth Arthur Abraham Ferry

Nicholas Stephen Doherty

Jeffrey L Robbin

Vinay R Majjigi

Steven J Falkenburg

Sam H Gharabally

Umamahesh Srinivas

Xing Tan

Ada Y Chan

Adeeti V Ullal

Pallavika Ramaswamy

Yann Jerome Julien Renard

Grant Ritchie

Hengliang Zhang

Keith P Kowalczykowski

Parisa Dehleh Hossein Zadeh

Nahir A Khan

Mark M Xue

Sheena Sharma

Dana J Dubois

Huayu Ding

Sriram Venkateswaran

Matthew Sibson

James S Savage

Charles B Etzel

Omar Aziz

Rishab Mehra

Steven Falkenburg, Iii

Luming Yin

Manjunath Shankar Rao

Dana J DuBois

Gurshamnjot Singh

Steven Falkenburg

The present disclosure generally relates to user interfaces for enabling an activity using a computer system. In some embodiments, exemplary user interfaces for invoking an activity associated with an application are described. In some embodiments, exemplary user interfaces for customizing displayed content based on circumstances under which the content was invoked are described. In some embodiments, exemplary user interfaces for managing applications that were used to enable activities are described. In some embodiments, exemplary user interfaces for managing settings for applications used to enable activities are described.

User interfaces for enabling an activity

In an example method, a mobile device receives motion data obtained by one or more sensors over a time period, where the one or more sensors are worn by a user, The mobile device determines, based on the motion data, an impact experienced by the user during the time of period, and determines one or more of characteristics of the user. The mobile device determines, based on the motion data and the one or more characteristics of the user, a likelihood that the user requires assistance subsequent to the impact, and generates one or more notifications based on likelihood.

Detecting falls using a mobile device

In an example method, a mobile device obtains a database including a plurality of data records. Each data record includes an indication of a respective impact previously experienced by a user of the mobile device, and sensor data generated by one or more first sensors worn by the user during that impact. The mobile device obtains sensor data generated by one or more second sensors worn by the user over a period of time, and determines whether the user has fallen during the period of time based on the database and the additional sensor data. The mobile device generates one or more notifications based on the determination of whether the user has fallen during the period of time.

Growing community of inventors

Saratoga, CA, United States of America

Xiaoyue Zhang