US 11,966,540 B2
Artificial intelligence model for enhancing a touch driver operation
Yotam Livny, Gadera (IL); Nir David, Hod Hasharon (IL); and Yael Livne, Tel Aviv (IL)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Dec. 9, 2022, as Appl. No. 18/064,114.
Application 18/064,114 is a continuation of application No. 17/323,757, filed on May 18, 2021, granted, now 11,526,235.
Prior Publication US 2023/0103621 A1, Apr. 6, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 3/041 (2006.01); G06N 3/044 (2023.01); G06N 3/084 (2023.01)
CPC G06F 3/0418 (2013.01) [G06F 3/04166 (2019.05); G06N 3/044 (2023.01); G06N 3/084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system for enhancing a touch driver operation, comprising:
a touch-sensitive display configured to detect a run-time touch input from a user; and
one or more processors configured to execute instructions using portions of associated memory to implement:
a touch driver of the touch-sensitive display configured to process the run-time touch input based at least in part on a plurality of calibration parameters, and output a touch input event and a plurality of run-time touch input parameters associated with the touch input event, and
an artificial intelligence model configured to:
receive, as input, the run-time touch input parameters; and
responsive to receiving the run-time touch input parameters:
perform cluster analysis on the run-time touch input parameters to determine a cohort of users with which the user is associated;
set calibration parameters for the personalized user touch driver profile according to calibration parameters included in a template profile associated with the determined cohort of users; and
output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.