Gyrophone: Recognizing Speech from Gyroscope Signals - Usenix
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Gyrophone: Recognizing Speech from Gyroscope Signals - Usenix
Aug 20, 2014 - ern smart phones are sufficiently sensitive to measure acoustic signals in the vicinity .... croelectroni
Gyrophone: Recognizing Speech from Gyroscope Signals Yan Michalevsky and Dan Boneh, Stanford University; Gabi Nakibly, National Research & Simulation Center, Rafael Ltd. https://www.usenix.org/conference/usenixsecurity14/technical-sessions/presentation/michalevsky
This paper is included in the Proceedings of the 23rd USENIX Security Symposium. August 20–22, 2014 • San Diego, CA ISBN 978-1-931971-15-7
Open access to the Proceedings of the 23rd USENIX Security Symposium is sponsored by USENIX
Gyrophone: Recognizing Speech From Gyroscope Signals Yan Michalevsky Dan Boneh
Gabi Nakibly
Computer Science Department
National Research & Simulation Center
Stanford University
Rafael Ltd.
Abstract
We show that the MEMS gyroscopes found on modern smart phones are sufficiently sensitive to measure acoustic signals in the vicinity of the phone. The resulting signals contain only very low-frequency information (
