Invention Grant
- Patent Title: Training a neural network with representations of user interface devices
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Application No.: US15994599Application Date: 2018-05-31
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Publication No.: US10922583B2Publication Date: 2021-02-16
- Inventor: Adrian Kaehler , Gary R. Bradski , Vijay Badrinarayanan
- Applicant: Magic Leap, Inc.
- Applicant Address: US FL Plantation
- Assignee: Magic Leap, Inc.
- Current Assignee: Magic Leap, Inc.
- Current Assignee Address: US FL Plantation
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06N3/10 ; G06K9/00 ; G06F3/01 ; G06T7/70 ; G06F3/0346 ; G06F3/0481 ; G06N3/08 ; G06T19/00 ; G06K9/46 ; G06N7/00 ; G06N5/02 ; G06N5/00

Abstract:
An example wearable display system is capable of determining a user interface (UI) event with respect to a virtual UI device (e.g., a button) and a pointer (e.g., a finger or a stylus) using a neural network. The wearable display system can render a representation of the UI device onto an image of the pointer captured when the virtual UI device is shown to the user and the user uses the pointer to interact with the virtual UI device. The representation of the UI device can include concentric shapes (or shapes with similar or the same centers of gravity) of high contrast. The neural network can be trained using training images with representations of virtual UI devices and pointers.
Public/Granted literature
- US20190034765A1 TRAINING A NEURAL NETWORK WITH REPRESENTATIONS OF USER INTERFACE DEVICES Public/Granted day:2019-01-31
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