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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 12603090 B1

PDFFull Text
Date of Patent:
Apr. 14, 2026

Filed:

Dec. 05, 2023

Methods and vehicles for capturing emotion of a human driver and customizing vehicle response

Applicants:

Angel A. Penilla, Sacramento, CA (US);

Albert S. Penilla, Scotts Valley, CA (US);

Inventors:

Angel A. Penilla, Sacramento, CA (US);

Albert S. Penilla, Scotts Valley, CA (US);

Assignee:

Emerging Automotive, LLC, Scotts Valley, CA (US);

Attorney:
Primary Examiner:

Frederick M Brushaber

Int. Cl.
CPC ...
G10L 15/22 (2006.01); B60R 16/037 (2006.01); G01C 21/36 (2006.01); G06V 20/59 (2022.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 15/25 (2013.01); G10L 15/30 (2013.01); G10L 17/04 (2013.01); G10L 17/06 (2013.01); G10L 25/57 (2013.01); G10L 25/63 (2013.01); H04L 67/1097 (2022.01); H04L 67/12 (2022.01); H04L 67/306 (2022.01); G06F 3/01 (2006.01); G10L 25/90 (2013.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); B60R 16/0373 (2013.01); G01C 21/3641 (2013.01); G06V 20/597 (2022.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/25 (2013.01); G10L 15/30 (2013.01); G10L 17/04 (2013.01); G10L 17/06 (2013.01); G10L 25/57 (2013.01); G10L 25/63 (2013.01); H04L 67/1097 (2013.01); H04L 67/12 (2013.01); H04L 67/306 (2013.01); G06F 3/013 (2013.01); G06F 3/017 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01); G10L 2015/228 (2013.01); G10L 25/90 (2013.01); H04L 67/10 (2013.01);
Abstract

Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes processing captured voice data from the human driver over a period of time while the human driver operates the vehicle. The method includes analyzing the voice data to assist in prediction of the emotion of the human driver. The method includes generating the vehicle response. The vehicle response is selected in part based on the emotion that was predicted for the human driver.

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