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. 03, 2024

Filed:

May. 24, 2021
Applicant:

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

Inventors:

Panu James Turcot, Pacifica, CA (US);

Rana el Kaliouby, Milton, MA (US);

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

Seyedmohammad Mavadati, Watertown, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/18 (2006.01); B60W 60/00 (2020.01); G06F 18/214 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
A61B 5/18 (2013.01); B60W 60/00 (2020.02); G06F 18/214 (2023.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/593 (2022.01); G06V 20/597 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01); G06V 40/175 (2022.01); B60W 2420/403 (2013.01); B60W 2540/043 (2020.02);
Abstract

Disclosed embodiments provide for vehicle manipulation with convolutional image processing. The convolutional image processing uses a multilayered analysis engine. A plurality of images is obtained using an imaging device within a first vehicle. A multilayered analysis engine is trained using the plurality of images. The multilayered analysis engine includes multiple layers that include convolutional layers and hidden layers. The evaluating provides a cognitive state analysis. Further images are evaluated using the multilayered analysis engine. The further images include facial image data from one or more persons present in a second vehicle. Manipulation data is provided to the second vehicle based on the evaluating the further images. An additional plurality of images of one or more occupants of one or more additional vehicles is obtained. The additional images provide opted-in, crowdsourced image training. The crowdsourced image training enables retraining the multilayered analysis engine.


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