公开(公告)号：US10514799B2

公开(公告)日：2019-12-24

申请号：US15259917

申请日：2016-09-08

Applicant: Google Inc.

Inventor： Pin-chih Lin ,  Tai-hsu Lin

IPC: G06F3/041 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08 ,  G06F3/0488 ,  G06F3/0354

Abstract: The present disclosure provides systems and methods that leverage machine learning to perform user input motion prediction. In particular, the systems and methods of the present disclosure can include and use a machine-learned motion prediction model that is trained to receive motion data indicative of motion of a user input object and, in response to receipt of the motion data, output predicted future locations of the user input object. The user input object can be a finger of a user or a stylus operated by the user. The motion prediction model can include a deep recurrent neural network.

公开(公告)号：US20180067605A1

公开(公告)日：2018-03-08

申请号：US15259917

申请日：2016-09-08

Applicant: Google Inc.

Inventor： Pin-chih Lin ,  Tai-hsu Lin

IPC: G06F3/041 ,  G06N99/00

CPC classification number: G06F3/0416 ,  G06F3/03545 ,  G06F3/04883 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084 ,  G06N20/00

Abstract: The present disclosure provides systems and methods that leverage machine learning to perform user input motion prediction. In particular, the systems and methods of the present disclosure can include and use a machine-learned motion prediction model that is trained to receive motion data indicative of motion of a user input object and, in response to receipt of the motion data, output predicted future locations of the user input object. The user input object can be a finger of a user or a stylus operated by the user. The motion prediction model can include a deep recurrent neural network.