US 11,836,344 B2
Systems for real-time intelligent haptic correction to typing errors and methods thereof
Abdelkader M'Hamed Benkreira, New York, NY (US); Nimma Bhusri, McLean, VA (US); and Tyler Maiman, Melville, NY (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Jan. 13, 2023, as Appl. No. 18/154,318.
Application 18/154,318 is a continuation of application No. 17/406,985, filed on Aug. 19, 2021, granted, now 11,579,730.
Application 17/406,985 is a continuation of application No. 17/090,663, filed on Nov. 5, 2020, granted, now 11,112,909, issued on Sep. 7, 2021.
Prior Publication US 2023/0168804 A1, Jun. 1, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 3/0488 (2022.01); G06F 3/04886 (2022.01); G06F 3/041 (2006.01); G06F 3/01 (2006.01); G06N 20/00 (2019.01); G06F 18/241 (2023.01)
CPC G06F 3/04886 (2013.01) [G06F 3/016 (2013.01); G06F 3/04186 (2019.05); G06F 18/241 (2023.01); G06N 20/00 (2019.01); G06F 2203/04803 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining, by at least one processor, one or more potential errors in at least one input segment from a character input component of a user computing device;
utilizing, by the at least one processor, an error characterization machine learning model to determine an error type classification associated with each potential error of the one or more potential errors;
determining, by the at least one processor, a haptic event latency associated with a delay for triggering haptic feedback after each potential error based at least in part on the error type classification of each potential error of the one or more potential errors; and
instructing, by the at least one processor, the user computing device to produce the haptic feedback after the haptic event latency for each potential error.