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公开(公告)号:US20240341591A1
公开(公告)日:2024-10-17
申请号:US18133870
申请日:2023-04-12
Applicant: Snap Inc.
Inventor: Clemens Birklbauer , Matthias Kalkgruber , Tiago Miguel Pereira Torres , Yubin Xi , Kai Zhou
IPC: A61B3/11
CPC classification number: A61B3/111
Abstract: An eyewear device including a sensor used to measure deformation of an eyewear frame to estimate an inter-pupillary distance (IPD) of an eyewear user. The sensor is used to determine head breadth (HB) of the user and to estimate the IPD of the user. A processor displays an image on a display of the eyewear as a function of the estimated IPD to improve virtual object rendering for an improved augmented reality (AR) viewing experience while reducing vergence accommodation mismatch (VAM). User profile data, such as age and gender, can be used to generate a more accurate estimated IPD of the user.
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公开(公告)号:US20250029340A1
公开(公告)日:2025-01-23
申请号:US18353555
申请日:2023-07-17
Applicant: Snap Inc.
Inventor: Kai Zhou , Yubin Xi , Tianyi Sun , Su Hyun Lee
Abstract: Described is a system for emphasizing XR content based on user intent by gathering interaction data from use of one or more interaction functions by a user, accessing a camera feed of a camera system from the XR device, analyzing a combination of data corresponding to the interaction data and the camera feed using a first machine learning model to identify a priority for individual media content items, and determining that a first subset of media content items are of a higher priority than a second subset of media content items. Then the system displays the media content items on the XR device of the user, the first subset of the media content items displayed differently than the second subset of the media content items based on the identified priority.
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公开(公告)号:US20240212287A1
公开(公告)日:2024-06-27
申请号:US18069779
申请日:2022-12-21
Applicant: Snap Inc.
CPC classification number: G06T19/006 , G06V40/103 , G06V40/20
Abstract: An ergonomics evaluation system for AR applications of an AR device is described. In one aspect, a method includes accessing user interface elements of an augmented reality application, accessing a plurality of user models and corresponding simulated augmented reality device sensor data for the plurality of user models, identifying simulated user interactions, from the plurality of user models, with a simulated augmented reality device operating the augmented reality application, based on the plurality of user models and corresponding simulated augmented reality device sensor data for the plurality of user models, applying a computer vision algorithm to the simulated user interactions, identifying user postures and user motions based on the simulated user interactions, and generating a first ergonomic feedback based on the user postures and the user motions.
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