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Erschienen in:
2025 | OriginalPaper | Buchkapitel
A Method for Embedding Information Into Acceleration Data Using Resonant Frequency Sound to Capacitive Accelerometers
verfasst von : Takeru Yokoyama, Kazuya Murao
Erschienen in: Advances in Mobile Computing and Multimedia Intelligence
Verlag: Springer Nature Switzerland
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Abstract
This paper presents a method to embed arbitrary bit sequences into acceleration data by attacking capacitive accelerometers with sound. Using a loudspeaker, sound data representing bit sequences is irradiated to the device, manipulating the acceleration data instantly and continuously. Evaluation experiments showed that the extraction accuracy of 10-bit binary information is 100% from multifunctional sensors placed on the table, 99.7% from a smartphone placed on the table, 100% from multifunctional sensors worn at the wrist, and 98% from a smartphone held in the hand.
