{"id":"https://openalex.org/W4387149998","doi":"https://doi.org/10.1145/3565287.3623624","title":"Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors","display_name":"Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387149998","doi":"https://doi.org/10.1145/3565287.3623624"},"language":"en","primary_location":{"id":"doi:10.1145/3565287.3623624","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3623624","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3623624","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3623624","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101400968","display_name":"Tianfang Zhang","orcid":"https://orcid.org/0000-0002-2084-6383"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianfang Zhang","raw_affiliation_strings":["Rutgers University, New Brunswick, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-2084-6383","affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, United States of America","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030425323","display_name":"Zhengkun Ye","orcid":"https://orcid.org/0009-0003-5528-0783"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengkun Ye","raw_affiliation_strings":["Temple University, Philadelphia, United States of America"],"raw_orcid":"https://orcid.org/0009-0003-5528-0783","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, United States of America","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065458594","display_name":"Ahmed Tanvir Mahdad","orcid":"https://orcid.org/0009-0002-4136-7004"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Tanvir Mahdad","raw_affiliation_strings":["Texas A&M University, College Station, USA"],"raw_orcid":"https://orcid.org/0009-0002-4136-7004","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013232395","display_name":"Md Mojibur Rahman Redoy Akanda","orcid":"https://orcid.org/0000-0002-2874-316X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Mojibur Rahman Redoy Akanda","raw_affiliation_strings":["Texas A&M University, College Station, USA"],"raw_orcid":"https://orcid.org/0000-0002-2874-316X","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023218221","display_name":"Cong Shi","orcid":"https://orcid.org/0000-0002-7599-202X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shi","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, USA"],"raw_orcid":"https://orcid.org/0000-0002-7599-202X","affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059730489","display_name":"Nitesh Saxena","orcid":"https://orcid.org/0000-0001-6083-104X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitesh Saxena","raw_affiliation_strings":["Texas A&M University, College Station, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6083-104X","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, United States of America","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322682","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-3984-6973"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Temple University, Philadelphia, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3984-6973","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, United States of America","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394750","display_name":"Yingying Chen","orcid":"https://orcid.org/0000-0002-3994-766X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingying Chen","raw_affiliation_strings":["Rutgers University, New Brunswick, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3994-766X","affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, United States of America","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19730799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13001","display_name":"Restraint-Related Deaths","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.9252193570137024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881633043289185},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6122283935546875},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5963796377182007},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5136491656303406},{"id":"https://openalex.org/keywords/vital-signs","display_name":"Vital signs","score":0.46553245186805725},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.42561501264572144},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41224730014801025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35702747106552124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3461416959762573},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17608684301376343}],"concepts":[{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.9252193570137024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881633043289185},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6122283935546875},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5963796377182007},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5136491656303406},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.46553245186805725},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.42561501264572144},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41224730014801025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35702747106552124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3461416959762573},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17608684301376343},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565287.3623624","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3623624","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3623624","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3565287.3623624","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3623624","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3623624","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1811643346","display_name":"Collaborative Research: III: Small: Efficient and Robust Multi-model Data Analytics for Edge Computing","funder_award_id":"2311596","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4131819877","display_name":"Collaborative Research: SaTC: TTP: Medium: Intrusion-Tolerant Outsourced Storage for Cyber-Infrastructure","funder_award_id":"2201465","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4363254994","display_name":"SHF: Small: A General Framework for Accelerating AI on Resource-Constrained Edge Devices","funder_award_id":"2211163","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7462733630","display_name":"SHF: Small: Collaborative Research: Software Hardware Architecture Co-design for Low-power Heterogeneous Edge Devices","funder_award_id":"2000480","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8022052686","display_name":"CAREER: Efficient Mobile Edge Oriented Deep Learning Framework","funder_award_id":"2145389","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8076678922","display_name":"Collaborative Research: CCRI: New: Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds","funder_award_id":"2120396","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8487957708","display_name":"Collaborative Research: CCRI: New: Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds","funder_award_id":"2120276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387149998.pdf","grobid_xml":"https://content.openalex.org/works/W4387149998.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W1487935506","https://openalex.org/W1526843660"],"related_works":["https://openalex.org/W4294974825","https://openalex.org/W3173825713","https://openalex.org/W4224238571","https://openalex.org/W3027547044","https://openalex.org/W2562843170","https://openalex.org/W4378228679","https://openalex.org/W2736982640","https://openalex.org/W4302759797","https://openalex.org/W4378228262","https://openalex.org/W3107375852"],"abstract_inverted_index":{"Despite":[0],"the":[1,14,61,67,71],"rapid":[2],"growth":[3],"of":[4,16,116],"augmented":[5],"reality":[6,9],"and":[7,40,82,108,140],"virtual":[8],"(AR/VR)":[10],"in":[11,23],"various":[12],"applications,":[13],"understanding":[15],"information":[17,43],"leakage":[18],"through":[19],"sensor-rich":[20],"headsets":[21,119],"remains":[22],"its":[24],"infancy.":[25],"In":[26],"this":[27],"poster,":[28],"we":[29,85],"investigate":[30],"an":[31],"unobtrusive":[32],"privacy":[33],"attack,":[34],"which":[35],"exposes":[36],"users'":[37,80,105],"vital":[38,91,128],"signs":[39],"embedded":[41],"sensitive":[42],"(e.g.,":[44],"gender,":[45,106],"identity,":[46,107],"body":[47,109,142],"fat":[48,110,143],"ratio),":[49],"based":[50],"on":[51,66,113],"unrestricted":[52],"AR/VR":[53,118],"motion":[54,72],"sensors.":[55],"The":[56],"key":[57],"insight":[58],"is":[59,63],"that":[60,121],"headset":[62],"closely":[64],"mounted":[65],"user's":[68],"face,":[69],"allowing":[70],"sensors":[73],"to":[74,89,97],"detect":[75,130],"facial":[76],"vibrations":[77],"produced":[78],"by":[79],"breathing":[81],"heartbeats.":[83],"Specifically,":[84],"employ":[86],"deep-learning":[87],"techniques":[88],"reconstruct":[90,126],"signs,":[92,129],"achieving":[93],"signal":[94],"qualities":[95],"comparable":[96],"dedicated":[98],"medical":[99],"instruments,":[100],"as":[101,103],"well":[102],"deriving":[104],"information.":[111],"Experiments":[112],"three":[114],"types":[115],"commodity":[117],"reveal":[120],"our":[122],"attack":[123],"can":[124],"successfully":[125],"high-quality":[127],"gender":[131],"(accuracy":[132,137],"over":[133,138],"93.33%),":[134],"re-identify":[135],"users":[136],"97.83%),":[139],"derive":[141],"ratio":[144],"(error":[145],"less":[146],"than":[147],"4.43%).":[148]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}