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:
Jul. 18, 2017

Filed:

Mar. 21, 2016
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Scott Vincent Myers, Camarillo, CA (US);

Shane Elwart, Ypsilanti, MI (US);

Walter Joseph Talamonti, Dearborn, MI (US);

Jonathan Thomas Mullen, Palo Alto, CA (US);

Zachary David Nelson, San Mateo, CA (US);

Tory Smith, San Francisco, CA (US);

Bibhrajit Halder, Palo Alto, CA (US);

Kyu Jeong Han, Palo Alto, CA (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60R 16/037 (2006.01); H04W 4/00 (2009.01); H04L 12/26 (2006.01);
U.S. Cl.
CPC ...
B60R 16/037 (2013.01); H04L 43/16 (2013.01); H04W 4/005 (2013.01);
Abstract

The present invention extends to methods, systems, and computer program products for identifying a person as a driver of a vehicle. Aspects include using in-vehicle sensors to increase the accuracy of driver identification initially determined using other mechanisms. As such, at least two different types of sensory devices can be utilized to gather data in an effort to identify the driver. The data gathered from the first sensor (e.g., at a key fob) is processed to identify the driver based on learned characteristic patterns, such as the driver's gait, before the driver enters the vehicle. The data gathered from the second sensor (e.g., in an in-vehicle face or voice recognition system) is processed to confirm the driver. The confirmation is based on biometric data and learned characteristic patterns. Data from the second sensor is provided back to the first sensor to confirm the driver identity.


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