US 12,141,251 B2
Authentication of a user based on analyzing touch interactions with a device
Sashi Kanth Saripalle, Overland Park, KS (US); Spandana Vemulapalli, Kansas City, MO (US); and Stephanie Firehammer, Kansas City, MO (US)
Assigned to Jumio Corporation, Sunnyvale, CA (US)
Filed by Jumio Corporation, Palo Alto, CA (US)
Filed on Feb. 21, 2019, as Appl. No. 16/281,935.
Prior Publication US 2020/0275271 A1, Aug. 27, 2020
Int. Cl. G06F 3/048 (2013.01); G06F 3/04883 (2022.01); G06F 21/31 (2013.01); G06F 21/32 (2013.01); G06V 10/80 (2022.01); G06V 40/20 (2022.01); G06V 40/50 (2022.01); H04W 12/065 (2021.01)
CPC G06F 21/31 (2013.01) [G06F 3/04883 (2013.01); G06F 21/32 (2013.01); G06V 10/809 (2022.01); G06V 40/28 (2022.01); G06V 40/50 (2022.01); H04W 12/065 (2021.01)] 2 Claims
OG exemplary drawing
 
1. A computer-implemented method for passive continuous identity authentication of an individual based on gesture data, the method being executed by one or more processors and comprising:
activating a continuous authentication mode to authenticate a user as they utilize swiping gestures on a touch screen;
training, by a mobile device, at least two clusters of classifiers for identifying a user by motion data and touch data features unique to the individual in a way the user executes a standard mobile device swipe gesture with each cluster of classifiers corresponding to a different orientation configuration of the user with respect to the mobile device selected from the group consisting of the user standing, walking, sitting, prone, inclined, and lying down;
receiving, by the mobile device, gesture data post sign-in for one or more swiping gestures, received on a touch screen of the mobile device from an individual during continued interaction by the individual with an application running on the mobile device;
generating, by the mobile device, specific features extracted from the one more swiping gestures including features of gesture patterns specific to the user for implementing a swipe gesture from the group consisting of a standard swipe right gesture, a standard swipe left gesture, a standard swipe up gesture, and a standard swipe down gesture;
comparing, by the mobile device, the specific features with the at least two clusters of classifiers stored on the mobile device; and
verifying, based on the comparing, that an identity of the individual matches an identity of the user.