Invention Grant
- Patent Title: Methods of determining handedness for virtual controllers
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Application No.: US15882309Application Date: 2018-01-29
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Publication No.: US10671842B2Publication Date: 2020-06-02
- Inventor: Shiqi Chen , Rong Liu , Rohit Pandey , Marie White , Xue Wang , Pavlo Pidlypenskyi
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06F3/00
- IPC: G06F3/00 ; G06K9/00 ; G06K9/62 ; G06F3/0346 ; G06K9/32 ; G06F3/01 ; G06K9/66 ; G06T7/00

Abstract:
In at least one aspect, a method can include generating a respective set of training set of images for each label in a handedness model by: receiving the label at an image capturing device, obtaining a set of captured images by recording a pass-through image of a user placing a target object within an overlay of a bounding area animation, the target object corresponding with the label, and associating the label with each image in the set of captured images. The method includes training, using the training images, the handedness model to provide a correct label for an input image.
Public/Granted literature
- US20190236344A1 METHODS OF DETERMINING HANDEDNESS FOR VIRTUAL CONTROLLERS Public/Granted day:2019-08-01
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