US 12,475,202 B2
Bending estimation as a biometric signal
Sagi Katz, Yokneam Ilit (IL)
Assigned to SNAP INC., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Sep. 29, 2021, as Appl. No. 17/489,394.
Claims priority of provisional application 63/189,944, filed on May 18, 2021.
Prior Publication US 2022/0374505 A1, Nov. 24, 2022
Int. Cl. G06F 21/32 (2013.01); G06F 1/16 (2006.01); G06T 7/593 (2017.01); H04N 13/344 (2018.01); G06V 40/16 (2022.01); G06V 40/19 (2022.01); G06V 40/70 (2022.01)
CPC G06F 21/32 (2013.01) [G06F 1/163 (2013.01); G06T 7/593 (2017.01); H04N 13/344 (2018.05); G06V 40/171 (2022.01); G06V 40/19 (2022.01); G06V 40/70 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising: forming training data comprising bending estimates of a flexible device worn by a first user, the bending estimates indicating how deformed the flexible device is and being derived from physiological characteristics of the first user; training a model based on the training data using a machine learning algorithm configured to transform the bending estimates into a biometric profile unique to the first user; and generating reference biometric data for the first user based on the model; wherein the flexible device is head-worn and comprises: a left temple, a right temple, and a frame, wherein the bending estimates comprise: a bending of the left temple with respect to the frame or the right temple; and a bending of the right temple with respect to the frame or the left temple; wherein the bending estimates are based on comparing a left image from a left camera mounted on the left temple with a right image from a right camera mounted on the right temple, VIO data of the flexible device, and a depth map based on the left image and the right image.