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:
Jan. 29, 2019

Filed:

Dec. 16, 2016
Applicant:

Wheego Electric Cars, Inc., Atlanta, GA (US);

Inventor:

Thomas Steven Taylor, Atlanta, GA (US);

Assignee:

AUTONOMOUS FUSION, INC., Atlanta, GA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2010.01); B60W 40/09 (2012.01); G06K 9/00 (2006.01); G08G 1/0962 (2006.01); G08G 1/0967 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); B60W 40/09 (2013.01); G06K 9/00302 (2013.01); G06K 9/00832 (2013.01); G08G 1/0962 (2013.01); G08G 1/09675 (2013.01); G08G 1/096716 (2013.01); G08G 1/096741 (2013.01); G08G 1/096791 (2013.01); B60W 2420/42 (2013.01); B60W 2540/10 (2013.01); B60W 2540/12 (2013.01); B60W 2540/14 (2013.01); B60W 2540/18 (2013.01); B60W 2540/20 (2013.01); B60W 2540/22 (2013.01); B60W 2750/40 (2013.01);
Abstract

Information generated by human behavior detection sensors (i.e., cameras, microphones, pressure sensors, wearables), and vehicle operational parameter information train a machine learning model to determine a driver's emotional state based on vehicle operational parameter information. The training information may be transmitted by a wireless device for each of a fleet of vehicles and their human driver during a training period. A vehicle driven after the training period may provide vehicle information, vehicle location information, VIN, vehicle operational parameter information, or driver emotional state parameter information to a central computer that may compare the received information to either the trained machine learning model or criteria generated as a result of training the model, to determine whether the first driver, or a second driver of a vehicle proximate the first driver's vehicle, is driving erratically or in an elevated emotional state, and alert the other driver if such a determination is made.


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