Google Inc.

Diane Wang

Paulo Coelho

Jonathan D Hurwitz

Michael Ishigaki

Benjamin Hylak

Brian M Collins

Jay Steele

Mark Dochtermann

Shengzhi Wu

Tarik Abdel-Gawad

Elena Nattinger

Samantha Raja

Douglas Muir

Drew Skillman

Steven Toh

Matthew Gilgenbach

Jackson Lango

Suddhasattwa Bose

Ashley Pinnick

A local and private model can be used to analyze textual, visual, and auditory content on a user's local device to provide notifications about events which are stressful beyond a predetermined threshold. The model can be trained by a combination of health sensor data and an analysis of the content. Multiple models or techniques can be used to analyze the content and vectorize the content. A vector based approach can be used to classify future content as stressful when meeting the predetermined threshold.

Active hidden stressor identification and notification

The present disclosure provides systems and methods for delivering notifications to a device or accessory based on the context. A host device may be wirelessly coupled to one or more accessories that are available to receive a notification. The host device may analyze a context for transmitting a notification, such as analyzing user attention and accessory state. Analyzing user attention and accessory state may be done by analyzing sensor data, such as audio input, image sensors, proximity sensors, etc. The host device may determine a content type, such as text, e-mail, news, or download, content classification, such as urgent, sensitive, or reminder, and a notification type, such as visual, audio, or haptic. The host device may select at least one of the accessories based on the context. The host device may transmit the notification to the selected accessory.

Notification delivery based on context awareness

A connectionless system for handing off data, content or information includes a proximity detection component that allows devices to detect other local devices within range. Devices within range may use advertisement and scanning to exchange communications so that one device can handoff data, content, or information to another device without having to connect, e.g., pair, with the other device(s).

Secure localized connectionless handoffs of data

Systems and methods are described that obtain depth data associated with a scene captured by an electronic device, obtain location data associated with a plurality of physical objects within a predetermined distance of the electronic device, generate a plurality of augmented reality objects configured to be displayed over a portion of the plurality of physical objects, and generate a plurality of proximity layers corresponding to the at least one scene, wherein a respective proximity layer is configured to trigger display of the auxiliary data corresponding to AR objects associated with the respective proximity layer while suppressing other AR objects.

Traversing photo-augmented information through depth using gesture and UI controlled occlusion planes

Disclosed are various embodiments for selecting augmenting reality (AR) objects based on contextual cues associated with an image captured by a camera associated with electronic device. Contextual cues are obtained at an electronic device and AR objects are identified from a memory associated with the electronic device. The electronic device implements a processor employing image segmentation techniques to combine the identified AR objects with the captured image and render the combined image for display at a display associated with the electronic device.

Selecting augmented reality objects for display based on contextual cues

Systems and methods for determining locations and configuring controllable devices are provided. Example systems and methods include determining a location estimate for a computing device and capturing image data, by the computing device, of a physical space that includes a controllable device performing an identification action. The example systems and methods may also include identifying the controllable device in the image data based at least in part on the identification action and determining configuration information for the controllable device. The configuration information may be based at least in part on the location estimate for the computing device.

Location determination for device control and configuration

Systems and methods for determining locations and configuring controllable devices are provided. Example systems and methods include determining a first location estimate for a computing device using a first interior location estimating technique. The example systems and method may also include determining a second location estimate for the computing device by refining the first location estimate using a second interior location estimating technique, the first interior location estimating technique being different than the second interior location estimating technique. The first interior location estimating technique may be based on round-trip time to multiple wireless communication devices. The second interior location estimating technique may be based on image data.

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San Francisco, CA, United States of America

Diane Wang