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:
Mar. 19, 2024

Filed:

Jul. 14, 2020
Applicant:

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

Inventors:

Thibaud Senechal, Cambridge, MA (US);

Rana el Kaliouby, Milton, MA (US);

Panu James Turcot, Pacifica, CA (US);

Mohamed Ezzeldin Abdelmonem Ahmed Mohamed, Cambridge, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 40/08 (2012.01); G06N 20/00 (2019.01); G06T 3/00 (2006.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 20/59 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 40/08 (2013.01); G06N 20/00 (2019.01); G06T 3/0006 (2013.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 20/59 (2022.01); G06V 20/593 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01); B60W 2040/0818 (2013.01); B60W 2540/229 (2020.02); G06T 2207/20101 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30268 (2013.01);
Abstract

Vehicular in-cabin facial tracking is performed using machine learning. In-cabin sensor data of a vehicle interior is collected. The in-cabin sensor data includes images of the vehicle interior. A set of seating locations for the vehicle interior is determined. The set is based on the images. The set of seating locations is scanned for performing facial detection for each of the seating locations using a facial detection model. A view of a detected face is manipulated. The manipulation is based on a geometry of the vehicle interior. Cognitive state data of the detected face is analyzed. The cognitive state data analysis is based on additional images of the detected face. The cognitive state data analysis uses the view that was manipulated. The cognitive state data analysis is promoted to a using application. The using application provides vehicle manipulation information to the vehicle. The manipulation information is for an autonomous vehicle.


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