Multimodal kinematic template matching and regression modeling for ray pointing prediction in virtual reality

Abstract

An electronic device tracks, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user. The electronic device predicts, for the user, a region of interest within the 3D space, using a regression model, based on the movement parameters. The region of interest includes a plurality of targets in close proximity. The electronic device predicts an endpoint of the target acquisition movement, within the region of interest, using a pointer facilitation technique. In some embodiments, the plurality of input devices includes an eye tracking input device, each input device corresponds to a predefined input device type, and the movement parameters include gaze data from the eye tracking input device. In some embodiments, input devices includes an eye tracking input device, a head-mounted display, and a hand-held controller, and the user's eye, hand, and head movements are coordinated.