{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117600"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117600","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Contactless material sensing with wireless mmwave vibrometry","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_has_math":false,"creators":["Shanbhag, Hailan Zhang"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Al-Hassanieh, Haitham"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Millimeter-wave","Wireless Sensing","Vibrometry","Material Classification"],"languages":["en","eng"],"rights":["Copyright 2022 Hailan Shanbhag"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117600","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Al-Hassanieh, Haitham"]},{"key":"dc:creator","label":"Author","values":["Shanbhag, Hailan Zhang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-12-07"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Millimeter-wave","Wireless Sensing","Vibrometry","Material Classification"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Hailan Shanbhag"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117600"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Contactless material sensing with wireless mmwave vibrometry"]}]}],"canonical_facts":{"dc:contributor":["Al-Hassanieh, Haitham"],"dc:creator":["Shanbhag, Hailan Zhang"],"dc:date":["2022-12","2022-12-07"],"dc:description":["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","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117600"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Hailan Shanbhag"],"dc:subject":["Millimeter-wave","Wireless Sensing","Vibrometry","Material Classification"],"dc:title":["Contactless material sensing with wireless mmwave vibrometry"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}