首页> 外国专利> Multi-head neural network model to simultaneously predict multiple physiological signals from facial RGB video

Multi-head neural network model to simultaneously predict multiple physiological signals from facial RGB video

机译:多头神经网络模型同时预测来自面部RGB视频的多种生理信号

摘要

A method for estimating two or more physiological signals from a subject includes steps of a) obtaining a video input in the form of a sequence of frames of image data depicting the face and optionally the chest of the subject; b) providing the video input to a multi-head neural network model trained from a set of facial video inputs from a multitude of other subjects (such video inputs optionally including the chest), wherein the model has at least two heads and is trained to predict at least two physiological signals from a video input; and c) generating with the model data representing an estimate of the two or more physiological signals of the subject. In one embodiment the physiological signals are heart rate and respiratory rate. In one embodiment the multi-head neural network model is implemented in a smartphone having a camera which is used to capture the video input.
机译:一种用于估计来自受试者的两个或更多个生理信号的方法包括a)的步骤)以图像数据序列的形式获得描绘面部和可选地胸部的图像数据的形式; b)向视频输入提供从来自多个其他对象的一组面部视频输入训练的多头神经网络模型(这些视频输入可选地包括胸部),其中,该模型具有至少两个头并训练 从视频输入预测至少两个生理信号; c)使用表示对象的两个或更多个生理信号的估计的模型数据。 在一个实施方案中,生理信号是心率和呼吸速率。 在一个实施例中,多头神经网络模型在具有用于捕获视频输入的相机的智能手机中实现。

著录项

  • 公开/公告号US2021304001A1

    专利类型

  • 公开/公告日2021-09-30

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US202117215915

  • 申请日2021-03-29

  • 分类号G06N3/08;G06N3/04;A61B5/0205;G06K9;G16H40/67;G16H80;

  • 国家 US

  • 入库时间 2022-08-24 21:21:58

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