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.

Date of Patent:
Apr. 16, 2019

Filed:

Sep. 29, 2016
Applicant:

Cognizant Technology Solutions India Pvt. Ltd, Chennai, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/16 (2006.01); H04N 19/503 (2014.01); H04N 19/17 (2014.01); G06K 9/32 (2006.01); G06T 7/246 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00348 (2013.01); A61B 5/112 (2013.01); A61B 5/1128 (2013.01); A61B 5/165 (2013.01); A61B 5/4076 (2013.01); A61B 5/7275 (2013.01); G06K 9/00362 (2013.01); G06K 9/3233 (2013.01); G06T 7/0012 (2013.01); G06T 7/246 (2017.01); H04N 19/17 (2014.11); H04N 19/503 (2014.11); A61B 5/4082 (2013.01); A61B 5/7257 (2013.01); A61B 5/7267 (2013.01); A61B 2576/00 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30196 (2013.01);
Abstract

A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.


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