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. 03, 2018

Filed:

May. 16, 2016
Applicant:

The Nielsen Company (Us), Llc, New York, NY (US);

Inventors:

Carl Marci, Boston, MA (US);

Brian Levine, Newton, MA (US);

Brendan Murray, Boston, MA (US);

Assignee:

THE NIELSEN COMPANY (US), LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/442 (2011.01); H04N 21/4415 (2011.01); H04N 21/422 (2011.01); G06F 3/01 (2006.01); G06K 9/00 (2006.01); A61B 5/053 (2006.01); A61B 3/11 (2006.01); A61B 3/113 (2006.01); A61B 5/16 (2006.01); H04N 21/81 (2011.01); G06Q 30/02 (2012.01); H04N 21/458 (2011.01); H04N 21/4223 (2011.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
H04N 21/44218 (2013.01); A61B 3/112 (2013.01); A61B 3/113 (2013.01); A61B 5/0064 (2013.01); A61B 5/0533 (2013.01); A61B 5/165 (2013.01); A61B 5/7282 (2013.01); G06F 3/01 (2013.01); G06K 9/00221 (2013.01); G06K 9/00362 (2013.01); G06Q 30/0201 (2013.01); H04N 21/4223 (2013.01); H04N 21/42201 (2013.01); H04N 21/4415 (2013.01); H04N 21/44204 (2013.01); H04N 21/44213 (2013.01); H04N 21/458 (2013.01); H04N 21/812 (2013.01); A61B 5/7278 (2013.01); A61B 2503/12 (2013.01);
Abstract

Methods, apparatus, systems and articles of manufacture to adjust content presented to an individual are disclosed. An example method includes measuring, via sensors, responses of an individual to content during a first time, determining response classifications based on a comparison of the responses and respective thresholds, determining a first mental classification of the individual based on combining the response classifications, determining a baseline during the first time, measuring additional responses to the content during a second time, determining additional response classifications based on a comparison of the additional responses to respective additional thresholds, adjusting the baseline based on the additional responses in the second time, determining a second mental classification of the individual based on combining the additional response classifications, determining a mental state of a user based on a similarity of the first mental classification and the second mental classification, and modifying the content based on the mental state.


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