Nonlinear Analysis of Built-in Sensor in Smart Device under the Condition of Voice Actuating
Ning Zhao,
Yuhe Liu and
Junjie Shen
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Ning Zhao: School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Yuhe Liu: School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Junjie Shen: School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Future Internet, 2019, vol. 11, issue 3, 1-13
Abstract:
A built-in sensor in a smart device, such as the accelerometer and the gyroscope, will produce an obvious nonlinear output when it receives voice signal. In this paper, based on the chaotic theory, the nonlinearity of smartphone built-in accelerometer is revealed by phase space reconstructing after we calculate several nonlinearity characteristics, such as best delay time, embedding dimension, and the attractor of accelerometer system, under the condition of voice commands inputting. The results of theoretical calculation and experiments show that this specific nonlinearity could lay a foundation for further signal extraction and analysis.
Keywords: built-in sensor; smart device; nonlinearity; phase space reconstruction (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
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