Apple Inc.

David R Stites

Robert William Mayor

Brent Michael Ledvina

Jahshan A Bhatti

Kevin Duffy

Lukas Michael Marti

Kevin P McLaughlin

Matthaeus Krenn

Lili Cao

Hyo Jeong Shin

Jason J Gauci

Liviu Teodor Popescu

Brendan John Langoulant

Erik C Neuenschwander

André M J Boulé

Tyler Dagan McRae Hawkins

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values using one or more sensors of a mobile device and the one or more sensor values are determined from one or more signals emitted by a first one or more accessory devices. An area of a physical space for the first one or more accessory devices can be determined based on the one or more sensor values. A second one or more accessory devices associated with the same area as the first one or more accessory devices can be suggested to a user.

Using in-home location awareness

An event can be detected by an input device. The event may be determined to be a triggering event by comparing the event to a group of triggering events. A first prediction model corresponding to the event is then selected. Contextual information about the device specifying one or more properties of the computing device in a first context is then received, and a set of one or more applications is identified. The set of one or more applications may have at least a threshold probability of being accessed by the user when the event occurs in the first context. Thereafter, a user interface is provided to a user for interacting with the set of one or more applications.

Application recommendation based on detected triggering events

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values to determine a data point at each of a plurality of first times, associating an accessory device with each of the data points, clustering the data points within a threshold distance of each other to create a plurality of clusters. The method also includes, after clustering the data points, measuring one or more sensor values to determine one or more current data points at a second time, determining that one or more current data points at the second time corresponds to a first cluster of the plurality of clusters, identifying a first accessory device associated with one or more of the data points in the first cluster, and providing a message using the application.

A method for identifying a suggested application on a mobile device is disclosed. The method includes detecting an event, determining a first location of the mobile device, identifying that the first location is within a first location region of a plurality of predetermined location regions, and then measuring one or more sensor values at one or more times. The measured sensor values may then be used to create a first-data point. In response to identifying the first location region, a plurality of clusters of data points may be retrieved. A first cluster of the plurality of clusters corresponding to the first data point may then be identified. The method may further include identifying a set of one or more applications, and then providing a message to the user based on the identified set of one or more applications.

Proactive actions on mobile device using uniquely-identifiable and unlabeled locations

A method for identifying a location of a mobile device is disclosed. The method includes during each of a plurality of instances of time: measuring one or more signal properties of one or more other devices across a time interval; obtaining an identifier from each of the one or more other devices; creating a data point to include the one or more signal properties; and storing the data point in a database. The method further includes analyzing the plurality data points in the database to determine clusters of data points; detecting an event at an input device of the mobile device; measuring one or more new signal properties of one or more of the plurality of other devices at one or more new times; creating a new data point from the one or more new signal properties; and identifying a first cluster corresponding to the new data point.

Discrete location classification

Systems and method for allowing an identifier value associated with a computing device, and that is delivered to content providers when requesting content, to be altered from that of the unique identifier value associated with the computing device. A computing device will include user interface elements that allow a user to request a new identifier on-demand. In some cases, the user can also configure the computing device to obtain a new identifier value in response to other actions at the computing device or automatically when some type of usage criteria is met. The identifier value is configured to be substantially unique and to be different than a unique identifier associated with the computing device to provide anonymity for the user.

Growing community of inventors

San Jose, CA, United States of America

David R Stites