公开(公告)号：US11227161B1

公开(公告)日：2022-01-18

申请号：US17471485

申请日：2021-09-10

Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Jianhua Tao ,  Yu He ,  Bin Liu ,  Licai Sun

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/32 ,  G06T7/11 ,  G06N3/08 ,  A61B5/00 ,  G06N3/04

Abstract: A physiological signal prediction method includes: collecting a video file, the video file containing long-term videos, and contents of the video file containing data for a face of a single person and true physiological signal data; segmenting a single long-term video into multiple short-term video clips; extracting, by using each frame of image in each of the short-term video clips, features of interested regions for identifying physiological signals so as to form features of interested regions of a single frame; splicing, for each of the short-term video clips, features of interested regions of all fixed frames corresponding to the short-term video clip into features of interested regions of a multi-frame video, and converting the features of the interested regions of the multi-frame video into a spatio-temporal graph; inputting the spatio-temporal graph into a deep learning model for training, and using the trained deep learning model to predict physiological signal parameters.