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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 12329517 B1

PDFFull Text
Date of Patent:
Jun. 17, 2025

Filed:

Jul. 19, 2021

Cognitive state vehicle navigation based on image processing and modes

Applicant:

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

Inventors:

Maha Amr Mohamed Fouad, New Cairo, EG;

Rana El Kaliouby, Milton, MA (US);

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

Panu James Turcot, Pacifica, CA (US);

Assignee:

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

Attorney:

Adams Intellex, PLC

Primary Examiner:

Redhwan K Mawari

Assistant Examiner:

Paul W Arellano

Int. Cl.
CPC ...
G05D 1/00 (2024.01); A61B 5/1171 (2016.01); B60W 50/00 (2006.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); G07C 5/02 (2006.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
A61B 5/1176 (2013.01); B60W 50/0098 (2013.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G06V 20/597 (2022.01); G06V 40/161 (2022.01); G06V 40/176 (2022.01); G06V 40/20 (2022.01); G07C 5/02 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2540/10 (2013.01); B60W 2540/12 (2013.01); B60W 2540/229 (2020.02); B60W 2540/30 (2013.01); B60W 2554/4042 (2020.02); B60W 2554/4043 (2020.02); B60W 2555/20 (2020.02); B60W 2556/10 (2020.02); B60W 2556/45 (2020.02); G06V 10/454 (2022.01);
Abstract

Image-based analysis techniques are used for cognitive state vehicle navigation, including an autonomous or a semi-autonomous vehicle. Images including facial data of a vehicle occupant are obtained using an in-vehicle imaging device. The vehicle occupant can be an operator of or a passenger within the vehicle. A first computing device is used to analyze the images to determine occupant cognitive state data. The analysis can occur at various times along a vehicle travel route. The cognitive state data is mapped to location data along the vehicle travel route. Information about the vehicle travel route is updated based on the cognitive state data and mode data for the vehicle. The updated information is provided for vehicle control. The mode data is configurable based on a mode setting. The mode data is weighted based on additional information.

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