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:
May. 23, 2023

Filed:

Jun. 08, 2020
Applicant:

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

Inventors:

Panu James Turcot, Pacifica, CA (US);

Rana el Kaliouby, Milton, MA (US);

Daniel McDuff, Cambridge, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06V 40/16 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 18/2155 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/82 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01);
Abstract

Disclosed embodiments provide for deep convolutional neural network computing. The convolutional computing is accomplished using a multilayered analysis engine. The multilayered analysis engine includes a deep learning network using a convolutional neural network (CNN). The multilayered analysis engine is used to analyze multiple images in a supervised or unsupervised learning process. Multiple images are provided to the multilayered analysis engine, and the multilayered analysis engine is trained with those images. A subject image is then evaluated by the multilayered analysis engine. The evaluation is accomplished by analyzing pixels within the subject image to identify a facial portion and identifying a facial expression based on the facial portion. The results of the evaluation are output. The multilayered analysis engine is retrained using a second plurality of images.


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