Contactless material sensing with wireless mmwave vibrometry
Shanbhag, Hailan Zhang
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Permalink
https://hdl.handle.net/2142/117600
Description
Title
Contactless material sensing with wireless mmwave vibrometry
Author(s)
Shanbhag, Hailan Zhang
Issue Date
2022-12-07
Director of Research (if dissertation) or Advisor (if thesis)
Al-Hassanieh, Haitham
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
millimeter-wave
wireless sensing, vibrometry
material classification
Abstract
This paper introduces RFVibe, a system that enables cheap, generalizable object identification using millimeter wave wireless signals. RFVibe is contactless, does not require careful positioning of the object, and can generalize to new locations and setups. Here, we introduce a new approach that combines wireless signals with acoustic signals for material sensing. RFVibe plays an audio sound next to the object that generates micro-vibrations in the object. These micro-vibrations can be captured by shining a millimeter wave radar signal on the object and analyzing the phase of the reflected wireless signal. RFVibe then extracts several features including resonance frequencies and vibration modes, dampening time of vibrations, and wireless reflection coefficients. These features are then used to enable more accurate and generalizable identification than current methods. We implement RFVibe using an off-the-shelf millimeter wave radar and acoustic speaker and evaluate it on 23 objects of 7 material types. We show that it can outperform state-of-the-art methods for wireless material sensing, while generalizing to new environments.
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