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 |
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.
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