US 11,656,693 B2
Multimodal kinematic template matching and regression modeling for ray pointing prediction in virtual reality
Rorik Henrikson, Toronto (CA); Tovi Samuel Grossman, Toronto (CA); Sean Edwin Trowbridge, Redmond, WA (US); Hrvoje Benko, Seattle, WA (US); Daniel John Wigdor, Toronto (CA); Marcello Giordano, Toronto (CA); Michael Glueck, Toronto (CA); Tanya Renee Jonker, Seattle, WA (US); Aakar Gupta, Redmond, WA (US); Stephanie Santosa, Toronto (CA); Carolina Brum Medeiros, Montreal (CA); and Daniel Clarke, Toronto (CA)
Assigned to META PLATFORMS TECHNOLOGIES, LLC, Menlo Park, CA (US)
Filed by META PLATFORMS TECHNOLOGIES, LLC, Menlo Park, CA (US)
Filed on Jan. 5, 2022, as Appl. No. 17/569,441.
Application 17/569,441 is a continuation of application No. 17/021,852, filed on Sep. 15, 2020, granted, now 11,256,342.
Application 17/021,852 is a continuation in part of application No. 16/560,874, filed on Sep. 4, 2019, granted, now 10,824,247, issued on Nov. 3, 2020.
Claims priority of provisional application 62/828,897, filed on Apr. 3, 2019.
Prior Publication US 2022/0129088 A1, Apr. 28, 2022
Int. Cl. G06F 3/0346 (2013.01); G06F 3/01 (2006.01)
CPC G06F 3/0346 (2013.01) [G06F 3/013 (2013.01); G06F 2203/0381 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of predicting future positions and directions of one or more input devices in 3D spaces, comprising:
at an electronic device having a display, one or more processors, and memory storing one or more programs configured for execution by the one or more processors:
tracking, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user;
predicting, for the user, a region of interest within the 3D space, based on the movement parameters, wherein the region of interest includes a plurality of targets in close proximity; and
predicting an endpoint of the target acquisition movement, within the region of interest.