Abstract: Systems and methods for location-based device control are provided. Example systems and methods include determining a location estimate for a computing device and identifying a controllable device based on the location estimate. Some examples also include determining a relative location of the controllable device with respect to the computing device and triggering display, on the computing device, of a user interface for interacting with the controllable device based on the relative location. Another example system and method includes identifying a controllable device within a physical space based on an aiming direction in which a computing device is aimed, determining an angular offset of the controllable device with respect to the aiming direction of the computing device, and triggering display, on the computing device, of a user interface that indicates the determined angular offset.

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for location-based device control are provided. Example systems and methods include determining a location estimate for a computing device and identifying a controllable device based on the location estimate. Some examples also include determining a relative location of the controllable device with respect to the computing device and triggering display, on the computing device, of a user interface for interacting with the controllable device based on the relative location. Another example system and method includes identifying a controllable device within a physical space based on an aiming direction in which a computing device is aimed, determining an angular offset of the controllable device with respect to the aiming direction of the computing device, and triggering display, on the computing device, of a user interface that indicates the determined angular offset.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods are described that utilize one or more processors to obtain a plurality of segments of a first media content item, extract, from a first segment in the plurality of segments, a plurality of image frames associated with a plurality of tracked movements of at least one object represented in the extracted image frames, compare, objects represented in the image frames extracted from the first segment to tracked objects in a second media content item. In response to detecting that at least one of the tracked objects is similar to at least one object in the plurality of extracted image frames, generating virtual content depicting the plurality of tracked movements from the first segment being performed on the at least one tracked object in the second media content item and triggering rendering of the virtual content as an overlay on the at least one tracked object.

Abstract: 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.

Abstract: 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.

Abstract: A method including receiving at a first time a textual query, receiving at a second time after the first time a visual input associated with the textual query, generating text based the visual input, generating a composite query based on a combination of the textual query and the text based on the visual input, and generating search results based on the composite query, the search results including a plurality of links to content.

Abstract: 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.

Abstract: 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.

Abstract: 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.