Qualcomm Incorporated

Daniel James Guest

Jonathan Kies

Robert S Tartz

Wesley James Holland

Bijan Forutanpour

Ramesh Chandrasekhar

Sebastien Mounier

Ananthapadmanabhan Arasanipalai Kandhadai

Scott David Beith

Kameron Kerger

Min Dai

Robyn Teresa Oliver

Upal Mahbub

Walker Curtis

Jee Young P Wipperfurth

Wen Chen

Yujie Dai

Techniques and systems are provided for dynamically adjusting virtual content provided by an extended reality system. In some examples, a system determines a level of distraction of a user of the extended reality system due to virtual content provided by the extended reality system. The system determines whether the level of distraction of the user due to the virtual content exceeds or is less than a threshold level of distraction, where the threshold level of distraction is determined based at least in part on one or more environmental factors associated with a real world environment in which the user is located. The system also adjusts one or more characteristics of the virtual content based on the determination of whether the level of distraction of the user due to the virtual content exceeds or is less than the threshold level of distraction.

Context-aware extended reality systems

A device may be configured to determining display properties for virtual content in an environment with a plurality of physical participants by capturing an image of the environment, analyzing the captured image to identify at least one object in the environment, determining a parameter for the identified object, and determining a display property of a digital representation of virtual content based on the determined parameter. Embodiments may include negotiating display properties with other devices to generate coordinated display properties, and rendering the digital representation of the virtual content so that the remote participant appears to be in the same fixed position to all co-located participants and sized consistent with the co-located participants.

Placement of virtual content in environments with a plurality of physical participants

Systems, methods, and non-transitory media are provided for generating obfuscated control interfaces for extended reality (XR) experiences. An example method can include determining a pose of an XR device within a mapped scene of a physical environment associated with the XR device; rendering a virtual control interface within the mapped scene according to a configuration including a first size, a first position relative to the pose of the XR device, a first ordering of input elements, and/or a first number of input elements; and adjusting the configuration of the virtual control interface based on a privacy characteristic of data associated with the virtual control interface and/or characteristics of the physical environment associated with the XR device, the adjusted configuration including a second size, a second ordering of input elements, a second number of input elements, and/or a second position relative to the pose of the XR device and/or first position.

Obfuscated control interfaces for extended reality

Systems, methods, and non-transitory media are provided for generating private control interfaces for extended reality (XR) experiences. An example method can include determining a pose of an XR device within a mapped scene of a physical environment associated with the XR device; detecting a private region in the physical environment and a location of the private region relative to the pose of the XR device, the private region including an area estimated to be within a field of view (FOV) of a user of the XR device and out of a FOV of a person in the physical environment, a recording device in the physical environment, and/or an object in the physical environment; based on the pose of the XR device and the location of the private region, mapping a virtual private control interface to the private region; and rendering the virtual private control interface within the private region.

Private control interfaces for extended reality

Systems, methods, and non-transitory media are provided for capturing a region of interest (ROI) with a multi-camera system. An example method can include initializing image sensors of an electronic device, each image sensor being initialized in a lower-power mode having a lower power consumption than a higher-power mode supported by one or more of the image sensors; obtaining images captured by the image sensors in the lower-power mode; determining, based on the images, that an ROI in a scene is within a field-of-view (FOV) of a first image sensor from the image sensors; based on determining that the ROI is within the FOV of the first image sensor, decreasing the lower-power mode of one or more second image sensors to a power-off mode or an additional lower-power mode having a lower power consumption than the lower-power mode; and capturing, using the first image sensor, an image of the ROI.

Region of interest capture for electronic devices

In an embodiment, a UE detects a request to capture a screenshot of image data being output on a display screen, obtains application-specific metadata that is configured to facilitate recreation of characteristics of a session state of an application that is contributing at least a portion of the image data being output on the display screen when the request is detected. The UE selectively captures the screenshot of the image data being output on the display screen in response to the request, and stores the obtained application-specific metadata. The same or different UE may obtain some or all of the application-specific metadata (and optionally the screenshot, if captured), and recreates some or all of the characteristics using the same or different application.

Associating a captured screenshot with application-specific metadata that defines a session state of an application contributing image data to the captured screenshot

In an embodiment, a user equipment (UE) coupled to a display screen enters into a reduced blue light (RBL) mode. The UE determines, while operating in accordance with the RBL mode, a degree of blue light reduction in at least a portion of a display frame to be output on the display screen using at least one RBL rule from a set of RBL rules that is based upon one or more of (i) application-specific information of an application that is contributing image data to the portion of the display frame, and (ii) content-specific information that characterizes the image data in the portion of the display frame. The UE selectively reduces the blue light in the at least a portion of the display frame based on the determining. The UE sends the display frame with the selectively reduced blue light portion to the display screen for output.

Selective reduction of blue light in a display frame

A content recommendation apparatus and method gives users a peer-to-peer, highly personal way to discover new content by being introduced to one or more similar users. A similar user is a user that has a correlation to another user based on their preferences and behaviors (e.g., downloaded content, frequency of use, content currently have on device, browsing behaviors, content organizational habits, etc.). A catalog of content, or a designated portion thereof, can be used at least in part for finding matches and for identifying content to suggest to another. Data about user behavior can serve to connect the user to similar individuals for the purpose of discovering new content.

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San Diego, CA, United States of America

Daniel James Guest