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:
Feb. 16, 2021

Filed:

Mar. 01, 2019
Applicant:

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

Inventors:

Abdelrahman N. Mahmoud, Somerville, MA (US);

Rana el Kaliouby, Milton, MA (US);

Seyedmohammad Mavadati, Watertown, MA (US);

Panu James Turcot, Pacifica, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G08G 1/0967 (2006.01); G08G 1/01 (2006.01); G06N 7/00 (2006.01); H04N 5/00 (2011.01); B60W 40/08 (2012.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G10L 25/51 (2013.01); G10L 25/78 (2013.01); H04N 5/247 (2006.01); H04N 5/33 (2006.01); G06N 3/00 (2006.01); G06N 20/10 (2019.01); B60R 11/00 (2006.01); B60R 11/02 (2006.01); H04N 7/18 (2006.01); G10L 25/48 (2013.01);
U.S. Cl.
CPC ...
G06K 9/00845 (2013.01); B60W 40/08 (2013.01); G06K 9/00288 (2013.01); G06K 9/00315 (2013.01); G06K 9/00838 (2013.01); G06K 9/6256 (2013.01); G06K 9/6273 (2013.01); G06K 9/6289 (2013.01); G06N 3/006 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 7/005 (2013.01); G06N 20/10 (2019.01); G08G 1/0112 (2013.01); G08G 1/0129 (2013.01); G08G 1/096716 (2013.01); G08G 1/096725 (2013.01); G08G 1/096741 (2013.01); G08G 1/096775 (2013.01); G10L 25/51 (2013.01); G10L 25/78 (2013.01); H04N 5/247 (2013.01); H04N 5/33 (2013.01); B60R 11/0247 (2013.01); B60R 2011/0003 (2013.01); G10L 25/48 (2013.01); H04N 7/18 (2013.01);
Abstract

Cognitive state-based vehicle manipulation uses near-infrared image processing. Images of a vehicle occupant are obtained using imaging devices within a vehicle. The images include facial data of the vehicle occupant. The images include visible light-based images and near-infrared based images. A classifier is trained based on the visible light content of the images to determine cognitive state data for the vehicle occupant. The classifier is modified based on the near-infrared image content. The modified classifier is deployed for analysis of additional images of the vehicle occupant, where the additional images are near-infrared based images. The additional images are analyzed to determine a cognitive state. The vehicle is manipulated based on the cognitive state that was analyzed. The cognitive state is rendered on a display located within the vehicle.


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