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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11232290 B1

PDFFull Text
Date of Patent:
Jan. 25, 2022

Filed:

Dec. 30, 2016

Image analysis using sub-sectional component evaluation to augment classifier usage

Applicant:

Affectiva, Inc., Waltham, MA (US);

Inventors:

Daniel McDuff, Cambridge, MA (US);

Rana el Kaliouby, Milton, MA (US);

Assignee:

Affectiva, Inc., Boston, MA (US);

Attorney:

Adams Intellex, PLC

Primary Examiner:

Jason M Ip

Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); A61B 5/16 (2006.01); G06Q 30/02 (2012.01); A61B 5/00 (2006.01); G06K 9/32 (2006.01); G16H 50/70 (2018.01); A61B 5/1171 (2016.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G16H 20/70 (2018.01); G06K 9/00 (2006.01); G16H 40/67 (2018.01);
U.S. Cl.
CPC ...
G06K 9/00302 (2013.01); A61B 5/0077 (2013.01); A61B 5/1176 (2013.01); A61B 5/165 (2013.01); A61B 5/7264 (2013.01); G06K 9/0053 (2013.01); G06K 9/00335 (2013.01); G06K 9/3241 (2013.01); G06K 9/4642 (2013.01); G06K 9/6218 (2013.01); G06K 9/6278 (2013.01); G16H 20/70 (2018.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 5/6898 (2013.01); G06Q 30/0242 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30201 (2013.01); G16H 40/67 (2018.01);
Abstract

Images are analyzed using sub-sectional component evaluation in order to augment classifier usage. An image of an individual is obtained. The face of the individual is identified, and regions within the face are determined. The individual is evaluated to be within a sub-sectional component of a population based on a demographic or based on an activity. An evaluation of content of the face is performed based on the individual being within a sub-sectional component of a population. The sub-sectional component of a population is used for disambiguating among content types for the content of the face. A Bayesian framework that includes a conditional probability is used to perform the evaluation of the content of the face, and the evaluation is further based on a prior event that occurred.

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