R
Robert William Hamilton
Researcher at Google
Publications - 16
Citations - 365
Robert William Hamilton is an academic researcher from Google. The author has contributed to research in topics: Near field communication & User interface. The author has an hindex of 7, co-authored 16 publications receiving 365 citations.
Papers
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Patent
Zero-Click Sharing of Application Context Across Devices
Jason Parks,Nicholas Julian Pelly,Jeffrey William Hamilton,Robert William Hamilton,Maarten W. Hooft +4 more
TL;DR: In this article, a first client device performs a handoff operation to a second client device by transmitting application information, associated with a first application, to the second device when the first device is positioned within a predefined proximity of the second client devices.
Patent
Continuous audio interaction with interruptive audio
TL;DR: In this article, the first audio generated by a first application is selected to be interrupted based on a notification associated with a second application, and a portion of the previously played audio is replayed.
Patent
Recommending transformations for photography
TL;DR: In this article, a method, computer program product, and system is described to identify an aspect of an image and one or more other images are identified based upon, at least in part, the image aspect.
Patent
User interface for wide angle photography
Nirav Bipinchandra Mehta,Mikkel Crone Koser,David Singleton,Robert William Hamilton,Holland Henry,Tony Ferreira,Thomas Weedon Hume +6 more
TL;DR: In this paper, a panoramic or wide-angle photography UI can be switched from a standard lens photo capture UI to a wide angle photography UI with a minimum zoom state.
Patent
Warning a user when voice input to a device is likely to fail because of background or other noise
Robert William Hamilton,Björn Bringert,Michael J. Lebeau,William J. Byrne,John Nicholas Jitkoff +4 more
TL;DR: In this paper, the authors present a method for notifying a user of a likelihood of successful recognition in an environment by a voice recognition application, based on a comparison of the noise sample and at least one predetermined threshold.