US 11,998,364 B2
Image-based system and method for predicting physiological parameters
Walter De Brouwer, Los Altos Hills, CA (US); Apurv Mishra, Styria Graz (AT); and Samia De Brouwer, Los Altos Hills, CA (US)
Assigned to Sharecare AI, Inc., Palo Alto, CA (US)
Filed by Sharecare AI, Inc., Palo Alto, CA (US)
Filed on Jun. 4, 2021, as Appl. No. 17/339,887.
Application 17/339,887 is a continuation of application No. 15/946,629, filed on Apr. 5, 2018, granted, now 11,026,634.
Claims priority of provisional application 62/481,691, filed on Apr. 5, 2017.
Prior Publication US 2021/0295021 A1, Sep. 23, 2021
Int. Cl. G06V 40/16 (2022.01); A61B 5/00 (2006.01); A61B 5/103 (2006.01); A61B 5/107 (2006.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/082 (2023.01); G06N 5/046 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2006.01); A61B 5/16 (2006.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01)
CPC A61B 5/7275 (2013.01) [A61B 5/0077 (2013.01); A61B 5/1032 (2013.01); A61B 5/1072 (2013.01); A61B 5/441 (2013.01); A61B 5/4872 (2013.01); A61B 5/7267 (2013.01); G06F 18/24133 (2023.01); G06N 3/045 (2023.01); G06N 3/082 (2013.01); G06N 5/046 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/169 (2022.01); G06V 40/172 (2022.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2013.01); A61B 5/02405 (2013.01); A61B 5/163 (2017.08); A61B 5/442 (2013.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06V 40/178 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for predicting physiological parameter of a person based on a facial image thereof, comprising:
an image processor, electrically coupled with a network, configured to:
receive from a digital device an image including facial and upper body features of a person;
process said image to generate a frontal facial image;
provide said frontal facial image, comprising facial and upper body features, to a trained neural network model configured to predict a gender classification of said person based on said facial and upper body features;
receive said gender classification of said person from said neural network model; and wherein
said trained neural network model is a regression deep learning convolutional neural network model.