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:
Dec. 23, 2025

Filed:

Sep. 27, 2024
Applicants:

Honda Motor Co., Ltd., Tokyo, JP;

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Jong Hoon Park, Pittsburgh, PA (US);

Lawrence Chen, Pittsburgh, PA (US);

Ian Higgins, Pittsburgh, PA (US);

Zhaobo Zheng, Campbell, CA (US);

Shashank Kumar Mehrotra, Campbell, CA (US);

Kevin Salubre, San Jose, CA (US);

Mohammadreza Mousaei, Pittsburgh, PA (US);

Steven Willits, Pittsburgh, PA (US);

Blaine Levedahl, San Louis Obispo, CA (US);

Timothy Buker, Morro Bay, CA (US);

Eliot Xing, Pittsburgh, PA (US);

Teruhisa Misu, San Jose, CA (US);

Sebastian Scherer, Pittsburgh, PA (US);

Jean Oh, Pittsburgh, PA (US);

Kumar Akash, San Jose, CA (US);

Assignees:

Honda Motor Co., Ltd., Tokyo, JP;

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06F 3/041 (2006.01); G06V 10/80 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); G06F 3/013 (2013.01); G06F 3/014 (2013.01); G06F 3/041 (2013.01); G06V 10/811 (2022.01); G06V 40/10 (2022.01); G06F 2203/04105 (2013.01);
Abstract

An estimation system includes a plurality of sensors that generate a multimodal signal, where the multimodal signal indicates a state of a user. The estimation system also includes at least one processor that receives the multimodal signal from the plurality of sensors, and determines a workload experienced by the user based on the multimodal signal and a workload model, wherein the workload model relates multimodal signal data to an experienced workload.


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