{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92743"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92743","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Applying multimodal sensing to human location estimation","abstract":"\"Mobile devices like smartphones and smartwatches are beginning to \"\"stick\"\" to the human body. Given that these devices are equipped with a variety of sensors, they are becoming a natural platform to understand various aspects of human behavior. This dissertation will focus on just one dimension of human behavior, namely \"\"location\"\". We will begin by discussing our research on localizing humans in indoor environments, a problem that requires precise tracking of human footsteps. We investigated the benefits of leveraging smartphone sensors (accelerometers, gyroscopes, magnetometers, etc.) into the indoor localization framework, which breaks away from pure radio frequency based localization (e.g., cellular, WiFi). Our research leveraged inherent properties of indoor environments to perform localization. We also designed additional solutions, where computer vision was integrated with sensor fusion to offer highly precise localization. We will close this thesis with micro-scale tracking of the human wrist and demonstrate how motion data processing is indeed a \"\"double-edged sword\"\", offering unprecedented utility on one hand while breaching privacy on the other.\"","abstract_html":""Mobile devices like smartphones and smartwatches are beginning to ""stick"" to the human body. Given that these devices are equipped with a variety of sensors, they are becoming a natural platform to understand various aspects of human behavior. This dissertation will focus on just one dimension of human behavior, namely ""location"". We will begin by discussing our research on localizing humans in indoor environments, a problem that requires precise tracking of human footsteps. We investigated the benefits of leveraging smartphone sensors (accelerometers, gyroscopes, magnetometers, etc.) into the indoor localization framework, which breaks away from pure radio frequency based localization (e.g., cellular, WiFi). Our research leveraged inherent properties of indoor environments to perform localization. We also designed additional solutions, where computer vision was integrated with sensor fusion to offer highly precise localization. We will close this thesis with micro-scale tracking of the human wrist and demonstrate how motion data processing is indeed a ""double-edged sword"", offering unprecedented utility on one hand while breaching privacy on the other."","abstract_has_math":false,"creators":["Wang, He"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Choudhury, Romit Roy","Vaidya, Nitin","Lymberopoulos, Dimitrios","Nahrstedt, Klara"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:50:01Z","date_published":"2016-11-10T17:50:01Z","updated_at":"2026-07-22T22:26:35Z","subjects":["sensing","location","visual fingerprinting","motion leaks","side-channel attacks","security"],"languages":["en"],"rights":["Copyright 2016 HeWang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92743","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Choudhury, Romit Roy","Vaidya, Nitin","Lymberopoulos, Dimitrios","Nahrstedt, Klara"]},{"key":"dc:creator","label":"Author","values":["Wang, He"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:50:01Z","2016-07-11","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["sensing","location","visual fingerprinting","motion leaks","side-channel attacks","security"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 HeWang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/92743"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"Mobile devices like smartphones and smartwatches are beginning to \"\"stick\"\" to the human body. 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We will close this thesis with micro-scale tracking of the human wrist and demonstrate how motion data processing is indeed a \"\"double-edged sword\"\", offering unprecedented utility on one hand while breaching privacy on the other.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, He Wang, accepted the attached license on 2016-06-30 at 15:15.","The student, He Wang, submitted this Dissertation for approval on 2016-06-30 at 15:59.","This Dissertation was approved for publication on 2016-07-11 at 09:41.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9735 on 2016-11-09 at 10:22:14","Made available in DSpace on 2016-11-10T17:50:01Z (GMT). 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Given that these devices are equipped with a variety of sensors, they are becoming a natural platform to understand various aspects of human behavior. This dissertation will focus on just one dimension of human behavior, namely \"\"location\"\". We will begin by discussing our research on localizing humans in indoor environments, a problem that requires precise tracking of human footsteps. We investigated the benefits of leveraging smartphone sensors (accelerometers, gyroscopes, magnetometers, etc.) into the indoor localization framework, which breaks away from pure radio frequency based localization (e.g., cellular, WiFi). Our research leveraged inherent properties of indoor environments to perform localization. We also designed additional solutions, where computer vision was integrated with sensor fusion to offer highly precise localization. We will close this thesis with micro-scale tracking of the human wrist and demonstrate how motion data processing is indeed a \"\"double-edged sword\"\", offering unprecedented utility on one hand while breaching privacy on the other.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, He Wang, accepted the attached license on 2016-06-30 at 15:15.","The student, He Wang, submitted this Dissertation for approval on 2016-06-30 at 15:59.","This Dissertation was approved for publication on 2016-07-11 at 09:41.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9735 on 2016-11-09 at 10:22:14","Made available in DSpace on 2016-11-10T17:50:01Z (GMT). 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