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CLASSIFYING FACIAL EXPRESSIONS USING EYE-TRACKING CAMERAS

机译：使用眼睛跟踪相机进行分类面部表情

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摘要

Images of a plurality of users are captured concurrently with the plurality of users evincing a plurality of expressions. The images are captured using one or more eye tracking sensors implemented in one or more head mounted devices (HMDs) worn by the plurality of first users. A machine learnt algorithm is trained to infer labels indicative of expressions of the users in the images. A live image of a user is captured using an eye tracking sensor implemented in an HMD worn by the user. A label of an expression evinced by the user in the live image is inferred using the machine learnt algorithm that has been trained to predict labels indicative of expressions. The images of the users and the live image can be personalized by combining the images with personalization images of the users evincing a subset of the expressions.

机译：与多个表达式的多个用户同时捕获多个用户的图像。使用在多个第一用户佩戴的一个或多个头戴式设备（HMDS）中实现的一个或多个眼睛跟踪传感器捕获图像。机器学习算法训练以推断出指示图像中用户的表达式的标签。使用在用户佩戴的HMD中实现的眼睛跟踪传感器捕获用户的实时图像。使用已经训练的机器学习算法推断用户在实时图像中执行的表达式的标签推断用于预测指示表达的标签。通过将具有表达式的子集的用户的个性化图像组合，可以个性化用户和实时图像的图像。

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公开/公告号US2021295025A1

专利类型
公开/公告日2021-09-23

原文格式PDF
申请/专利权人 GOOGLE LLC;
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申请/专利号US202117339128
发明设计人 AVNEESH SUD;STEVEN HICKSON;VIVEK KWATRA;NICHOLAS DUFOUR;
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申请日2021-06-04
分类号G06K9;A61B5/16;G06N3/08;G06N3/04;H04N5/232;G06K9/62;G06F3/01;A61B5;G01S3;G06K9/46;
国家 US
入库时间 2022-08-24 21:12:30

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