Apple Inc.

Jonathan Jay Andrews

Joshua P De Cesare

Daniel Ben Pollack

Gaurav Kapoor

Amit K Vyas

Kit-Man Wan

Anand Ramadurai

Phillip Stanley-Marbell

Lee Russell

Dallas Blake De Atley

Alexei Elias Kosut

Cyril De La Cropte De Chanterac

Matthew Elliot Shepherd

David Michael Chan

Eugene J Kim

Hue Duc Tran

David B Myszewski

Joao Pedro Forjaz De Lacerda

Brittany D Hughes

Jeffrey J Terlizzi

Justin N Wood

Marc Jason Krochmal

John Joseph Iarocci

Andrew H Vyrros

Michael J Smith

Joshua V Graessley

Zachary C Rich

Anand Dalal

James Hollabaugh

Jeffrey R Wilcox

Daniel J Fritchman

Stephen C Peters

Mitch Adler

Daniel M Vinegrad

Andrew M Matuschak

Naveen Nalam

Arun Godfrey Mathias

Haining Zhang

Josh P De Cesare

Jerry Hauck

Jason D Gosnell

Eric S Brown

Daniel D Schucker

Arjuna Sivasithambaresan

Stephen Schell

Aon Mujtaba

Romit Dasgupta

Alex Ho

Joshua De Cesare

Download of a third-party app includes download, to a local device, an installation package for an application, wherein the installation package comprises a resource request component. In response to installing the application, the resource request component is launched. The resource request component causes the local device to transmit a request to a remote device for additional resources for the application, and download the additional resources to the local device.

App-independent resource downloads

This application relates to techniques that adjust the sleep states of a computing device based on user proximity detection procedures. The technique includes detecting a first pattern, using a first subset of sensors of one or more sensors coupled to the computing device, to determine if the object is proximate to the computing device. Provided the first pattern is not indicative of the object being proximate to the computing device, the technique detects a second pattern, using a second subset of sensors of the one or more sensors, to determine if the object is proximate to the computing device. Furthermore, provided either the first pattern or the second pattern is indicative of the object being proximate to the computing device and provided a first portion of a computer system within the computing device is operating within a low-power sleep state, the technique causes the first portion to enter into a high-power sleep state.

Techniques for adjusting computing device sleep states using onboard sensors and learned user behaviors

Examples of the disclosure are directed to a method of, after hitting a UVLO threshold, rebooting an electronic device in a low power mode having a lower UVLO threshold, such that the device can continue to be used past the first UVLO threshold. For example, in a high power mode, the device may be capable of a number of functionalities of a modern portable electronic device, such as network access, the ability to run applications, Bluetooth connections, etc. In a low power mode, the device may only be able to check and display a current time, play an alarm sound at a predefined time, perform near field communication (NFC) transactions/payments, among other possibilities described herein. The limited functionality and reduced usage of peripherals in the low power mode may prevent the battery from experiencing peaks in current level that may be problematic at relatively low levels of voltage.

Low power mode

In some implementations, a mobile device can be configured to monitor environmental, system and user events. The occurrence of one or more events can trigger adjustments to system settings. In some implementations, the mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or accessing a network interface, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device to preserve a high quality user experience.

Initiating background updates based on user activity

In some implementations, a mobile device can be configured to monitor environmental, system and user events associated with the mobile device and/or a peer device. The occurrence of one or more events can trigger adjustments to system settings. The mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or communicating with a peer device, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device and/or a peer device to ensure a high quality user experience.

Dynamic adjustment of mobile device based on peer event data

Methods, systems, and apparatuses for charging a host device from a charging source through an accessory are described. Upon detecting an input power signal from the charging source, an accessory may send an identification request to the host device and authenticate the host device based on the identification information received from the host device. Upon authenticating the host device, the accessory may enable a power path between the charging source and the host device to supply a charging current to charge the host device.

Cascading power for accessories

Non-waking push notifications

Push notification initiated background updates

Dynamic adjustment of mobile device based on user activity

Growing community of inventors

San Jose, CA, United States of America

Jonathan Jay Andrews