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:
Sep. 07, 2021

Filed:

Nov. 05, 2020
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Abdelkader M'Hamed Benkreira, New York, NY (US);

Nimma Bhusri, McLean, VA (US);

Tyler Maiman, Melville, NY (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0488 (2013.01); G06F 3/041 (2006.01); G06F 3/01 (2006.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 3/04186 (2019.05); G06F 3/016 (2013.01); G06F 3/04886 (2013.01); G06K 9/6268 (2013.01); G06N 20/00 (2019.01); G06F 2203/04803 (2013.01);
Abstract

Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.


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