2026-09-18T18:51:25Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/117600 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Al-Hassanieh, Haitham 2022-12 application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01 The student, Hailan Shanbhag, accepted the attached license on 2022-12-03 at 06:49. The student, Hailan Shanbhag, submitted this Thesis for approval on 2022-12-07 at 08:04. This Thesis was approved for publication on 2022-12-07 at 12:01. DSpace SAF Submission Ingestion Package generated from Vireo submission #18749 on 2023-04-12 at 11:37:10 Contactless material sensing with wireless mmwave vibrometry Shanbhag, Hailan Zhang 2022-12-07 Millimeter-wave Wireless Sensing Vibrometry Material Classification 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. Thesis eng https://hdl.handle.net/2142/117600 Copyright 2022 Hailan Shanbhag M.S. Thesis Electrical & Computer Engr University of Illinois at Urbana-Champaign Electrical & Computer Eng