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:
Sep. 21, 2021

Filed:

Aug. 12, 2020
Applicants:

Robert William Kocher, McLean, VA (US);

Loran Dean Ambs, Williamsburg, VA (US);

Inventors:

Robert William Kocher, McLean, VA (US);

Loran Dean Ambs, Williamsburg, VA (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); A61B 5/291 (2021.01); A61B 5/00 (2006.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 5/38 (2021.01); A61B 5/378 (2021.01); A61B 5/381 (2021.01); G06N 3/08 (2006.01); G06Q 10/06 (2012.01); A61B 5/16 (2006.01);
U.S. Cl.
CPC ...
A61B 5/291 (2021.01); A61B 5/378 (2021.01); A61B 5/38 (2021.01); A61B 5/381 (2021.01); A61B 5/4064 (2013.01); A61B 5/6814 (2013.01); A61B 5/7246 (2013.01); A61B 5/7264 (2013.01); G06N 3/02 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 5/167 (2013.01); A61B 2503/12 (2013.01); G06N 3/084 (2013.01); G06Q 10/063112 (2013.01);
Abstract

This invention, which focuses on personality and aptitude matching by psychophysiologic response to stimuli, is referred to as Brain Matching. In general terms, this invention starts by selecting highly specialized skill sets and top performer group for each skill set. The various groups are analyzed though psychophysiologic stimuli testing by using basically the same testing consisting of large numbers stimuli tests in a consistent testing environment. Stimuli tests can range from hundreds to thousands of images each producing a brainwave response. Neural Networks, Artificial Intelligence, Deep Learning computers look at the test results, highly specialized group by other highly specialized group to reduce the groups signature/response commonality into a template. Test subjects are then tested using the same stimuli. The subject's test results are analyzed for correlation with the various specialized expert groups.


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