Visual and audio wake commands
A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A camera component of the hand-tracking input pipeline detects a possible visual wake command being made by a user of the AR system. On the bas...
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| Main Authors | , , , , , |
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| Format | Patent |
| Language | English |
| Published |
24.10.2023
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| Subjects | |
| Online Access | Get full text |
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| Abstract | A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A camera component of the hand-tracking input pipeline detects a possible visual wake command being made by a user of the AR system. On the basis of detecting the possible visual wake command, the AR system wakes the hand-tracking input pipeline and places the camera component in a fully operational mode. If the AR system, using the hand-tracking input pipeline, verifies the possible visual wake command as an actual wake command, the AR system initiates execution of an AR application. |
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| AbstractList | A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A camera component of the hand-tracking input pipeline detects a possible visual wake command being made by a user of the AR system. On the basis of detecting the possible visual wake command, the AR system wakes the hand-tracking input pipeline and places the camera component in a fully operational mode. If the AR system, using the hand-tracking input pipeline, verifies the possible visual wake command as an actual wake command, the AR system initiates execution of an AR application. |
| Author | Colascione, Daniel Hanover, Matthew Marr, Michael David Powderly, James Myers, Scott Korolev, Sergei |
| Author_xml | – fullname: Korolev, Sergei – fullname: Myers, Scott – fullname: Powderly, James – fullname: Hanover, Matthew – fullname: Colascione, Daniel – fullname: Marr, Michael David |
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| Notes | Application Number: US202217948004 |
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| Snippet | A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A... |
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| SubjectTerms | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| Title | Visual and audio wake commands |
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