{"id":"https://openalex.org/W4395666765","doi":"https://doi.org/10.1145/3625687.3625813","title":"Jawthenticate: Microphone-free Speech-based Authentication using Jaw Motion and Facial Vibrations","display_name":"Jawthenticate: Microphone-free Speech-based Authentication using Jaw Motion and Facial Vibrations","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4395666765","doi":"https://doi.org/10.1145/3625687.3625813"},"language":"en","primary_location":{"id":"doi:10.1145/3625687.3625813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625687.3625813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075120384","display_name":"Tanmay Srivastava","orcid":"https://orcid.org/0000-0003-0144-7931"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanmay Srivastava","raw_affiliation_strings":["Stony Brook University, Stony Brook, USA"],"raw_orcid":"https://orcid.org/0000-0003-0144-7931","affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050975451","display_name":"Shijia Pan","orcid":"https://orcid.org/0000-0002-3226-2318"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijia Pan","raw_affiliation_strings":["University of California Merced, Merced, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3226-2318","affiliations":[{"raw_affiliation_string":"University of California Merced, Merced, United States of America","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077347243","display_name":"Phuc Nguyen","orcid":"https://orcid.org/0000-0001-8078-4463"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phuc Nguyen","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-8078-4463","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, United States of America","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102706524","display_name":"Shubham Jain","orcid":"https://orcid.org/0000-0002-4864-6420"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubham Jain","raw_affiliation_strings":["Stony Brook University, Stony Brook, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-4864-6420","affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, United States of America","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13289","display_name":"Infant Health and Development","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.8817846179008484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018503189086914},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.7818810343742371},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.661262035369873},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4653269648551941},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4565465450286865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43612104654312134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37010645866394043},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11257737874984741},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07562723755836487}],"concepts":[{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.8817846179008484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018503189086914},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.7818810343742371},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.661262035369873},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4653269648551941},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4565465450286865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43612104654312134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37010645866394043},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11257737874984741},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07562723755836487},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625687.3625813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625687.3625813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7281113688","display_name":"Utilizing Conducted Electromagnetic Interference (EMI) for Low-Cost Server-Level Power Monitoring in Data Centers","funder_award_id":"2152357","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7553465037","display_name":"CPS: Small: Performance Monitoring Cyber-Physical System for Emerging Fitness Spaces","funder_award_id":"2110193","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8481405873","display_name":"CAREER: Closed-loop Health Behavior Interventions in Multi-device Environments","funder_award_id":"2238553","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W955461053","https://openalex.org/W1986754283","https://openalex.org/W1990517717","https://openalex.org/W1995111761","https://openalex.org/W2029027380","https://openalex.org/W2092464820","https://openalex.org/W2107204314","https://openalex.org/W2157368249","https://openalex.org/W2170113657","https://openalex.org/W2279100732","https://openalex.org/W2294098428","https://openalex.org/W2327501763","https://openalex.org/W2334809025","https://openalex.org/W2395105390","https://openalex.org/W2395976730","https://openalex.org/W2397073700","https://openalex.org/W2470394683","https://openalex.org/W2490959726","https://openalex.org/W2575585029","https://openalex.org/W2783652918","https://openalex.org/W2795274753","https://openalex.org/W2798695205","https://openalex.org/W2810116884","https://openalex.org/W2899436735","https://openalex.org/W2903181773","https://openalex.org/W2912487318","https://openalex.org/W2944490436","https://openalex.org/W2962970093","https://openalex.org/W2971399876","https://openalex.org/W2972759272","https://openalex.org/W3004196347","https://openalex.org/W3084542156","https://openalex.org/W3104023962","https://openalex.org/W3109009614","https://openalex.org/W3149259391","https://openalex.org/W3151244818","https://openalex.org/W3163120578","https://openalex.org/W3169964936","https://openalex.org/W3198130403","https://openalex.org/W3204118745","https://openalex.org/W3205995231","https://openalex.org/W3210626783","https://openalex.org/W3211771663","https://openalex.org/W4205128983","https://openalex.org/W4232693094","https://openalex.org/W4238408519","https://openalex.org/W4238768900","https://openalex.org/W4249938195","https://openalex.org/W4250059488","https://openalex.org/W4284899402","https://openalex.org/W4294891788","https://openalex.org/W4317927963","https://openalex.org/W4320519611","https://openalex.org/W6712614457"],"related_works":["https://openalex.org/W2188559950","https://openalex.org/W2989910292","https://openalex.org/W2998478967","https://openalex.org/W3128793638","https://openalex.org/W2123299109","https://openalex.org/W2021230337","https://openalex.org/W4401097268","https://openalex.org/W107154053","https://openalex.org/W4387799680","https://openalex.org/W4308237908"],"abstract_inverted_index":{"In":[0,96],"this":[1],"paper,":[2],"we":[3],"present":[4],"Jawthenticate,":[5],"an":[6],"earable":[7],"system":[8,23,86],"that":[9],"authenticates":[10],"a":[11,20,78,97,110],"user":[12],"using":[13,19,40],"audible":[14],"or":[15],"inaudible":[16],"speech":[17,134],"without":[18],"microphone.":[21],"This":[22,57],"can":[24],"overcome":[25],"the":[26,50,90],"shortcomings":[27],"of":[28,59,94,114,120,127,133],"traditional":[29],"voice-based":[30],"authentication":[31],"systems":[32],"like":[33],"unreliability":[34],"in":[35],"noisy":[36],"conditions":[37],"and":[38,53,92,122],"spoofing":[39],"microphone-based":[41],"replay":[42],"attacks.":[43],"Jawthenticate":[44,62,108],"derives":[45],"distinctive":[46],"speech-related":[47],"features":[48,60,75],"from":[49],"jaw":[51],"motion":[52],"associated":[54],"facial":[55],"vibrations.":[56],"combination":[58],"makes":[61],"resilient":[63],"to":[64,76,89],"vocal":[65],"imitations":[66],"as":[67,69],"well":[68],"camera-based":[70],"spoofing.":[71],"We":[72],"use":[73],"these":[74],"train":[77],"two-class":[79],"SVM":[80],"classifier":[81],"for":[82],"each":[83],"user.":[84],"Our":[85],"is":[87],"invariant":[88],"content":[91],"language":[93],"speech.":[95],"study":[98],"conducted":[99],"with":[100,129],"41":[101],"subjects,":[102],"who":[103],"speak":[104],"different":[105],"native":[106],"languages,":[107],"achieves":[109],"Balanced":[111],"Accuracy":[112],"(BAC)":[113],"97.07%,":[115],"True":[116,123],"Positive":[117],"Rate":[118,125],"(TPR)":[119],"97.75%,":[121],"Negative":[124],"(TNR)":[126],"96.4%":[128],"just":[130],"3":[131],"seconds":[132],"data.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
