{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80865"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80865","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"COTS-DWS: A Wireless Sensing Testbed for Human Activity Recognition","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Murali, Srinivasan"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sun, Zhi","Electrical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T16:47:41Z","date_published":"2019-10-29T16:47:41Z","updated_at":"2026-07-27T19:05:25Z","subjects":["electrical engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80865","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sun, Zhi","Electrical Engineering"]},{"key":"dc:creator","label":"Author","values":["Murali, Srinivasan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:47:41Z","2019","2019-07-25 12:37:35"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["electrical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80865"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","The research work for Contact-less Wireless Sensing has catapulted over the years with a focus on human-centric applications such as Surveillance, Smart Homes, Augmented and Virtual Reality. The Wireless Sensing Systems that are already present need dedicated hardware or are simulated in an ideal scenario. These existing Wireless Sensing Systems that are present consists of their receivers in the form of an antenna array. The commercial devices such as smartphones, laptops have their antenna (one or many) designed with the size of the device in mind, thus making the derivation of essential Wireless Sensing Parameters such as Angle of Arrival (AoA), Time of Flight (ToF) difficult. The design of the Sensing System presented in this thesis bears a close similarity to the settings in real-world scenarios. The synchronization of this system is done using the Network Time Protocol (NTP) running atop an SSH Server. Doppler Frequency Shift (DFS) Profiles are used to generate Body-Velocity Profiles (BVP), to quantitatively analyze them with a Deep-Learning Neural Network (DNN)."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["COTS-DWS: A Wireless Sensing Testbed for Human Activity Recognition"]}]}],"canonical_facts":{"dc:contributor":["Sun, Zhi","Electrical Engineering"],"dc:creator":["Murali, Srinivasan"],"dc:date":["2019-10-29T16:47:41Z","2019","2019-07-25 12:37:35"],"dc:description":["M.S.","The research work for Contact-less Wireless Sensing has catapulted over the years with a focus on human-centric applications such as Surveillance, Smart Homes, Augmented and Virtual Reality. The Wireless Sensing Systems that are already present need dedicated hardware or are simulated in an ideal scenario. These existing Wireless Sensing Systems that are present consists of their receivers in the form of an antenna array. The commercial devices such as smartphones, laptops have their antenna (one or many) designed with the size of the device in mind, thus making the derivation of essential Wireless Sensing Parameters such as Angle of Arrival (AoA), Time of Flight (ToF) difficult. The design of the Sensing System presented in this thesis bears a close similarity to the settings in real-world scenarios. The synchronization of this system is done using the Network Time Protocol (NTP) running atop an SSH Server. Doppler Frequency Shift (DFS) Profiles are used to generate Body-Velocity Profiles (BVP), to quantitatively analyze them with a Deep-Learning Neural Network (DNN)."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80865"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["electrical engineering"],"dc:title":["COTS-DWS: A Wireless Sensing Testbed for Human Activity Recognition"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:25Z"}