{"id":"https://openalex.org/W3005937603","doi":"https://doi.org/10.1109/icb45273.2019.8987271","title":"A New Approach for EEG-Based Biometric Authentication Using Auditory Stimulation","display_name":"A New Approach for EEG-Based Biometric Authentication Using Auditory Stimulation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3005937603","doi":"https://doi.org/10.1109/icb45273.2019.8987271","mag":"3005937603"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},"type":"article","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/A5033081051","display_name":"Sherif Nagib Abbas Seha","orcid":"https://orcid.org/0000-0003-4494-011X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sherif Nagib Abbas Seha","raw_affiliation_strings":["University of Toronto,The Edward S. Rogers Sr. Department of Electrical and Computer Engineering,Toronto,ON,Canada,M5S 3G4","The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,The Edward S. Rogers Sr. Department of Electrical and Computer Engineering,Toronto,ON,Canada,M5S 3G4","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041117623","display_name":"Dimitrios Hatzinakos","orcid":"https://orcid.org/0000-0003-3345-9232"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Hatzinakos","raw_affiliation_strings":["University of Toronto,The Edward S. Rogers Sr. Department of Electrical and Computer Engineering,Toronto,ON,Canada,M5S 3G4","The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,The Edward S. Rogers Sr. Department of Electrical and Computer Engineering,Toronto,ON,Canada,M5S 3G4","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.6231,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.68586184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851876020431519},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6903760433197021},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6568968892097473},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5490083694458008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5303932428359985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113665461540222},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.495414137840271},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47961175441741943},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.43992194533348083},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.42895978689193726},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4278654456138611},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4227575957775116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851876020431519},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6903760433197021},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6568968892097473},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5490083694458008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5303932428359985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113665461540222},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.495414137840271},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47961175441741943},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.43992194533348083},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.42895978689193726},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4278654456138611},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4227575957775116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb45273.2019.8987271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1561903397","https://openalex.org/W1940884229","https://openalex.org/W1979148805","https://openalex.org/W1980837896","https://openalex.org/W1986197724","https://openalex.org/W2004204487","https://openalex.org/W2019885188","https://openalex.org/W2048939758","https://openalex.org/W2072273451","https://openalex.org/W2078952398","https://openalex.org/W2130817593","https://openalex.org/W2179439929","https://openalex.org/W2261365252","https://openalex.org/W2288961935","https://openalex.org/W2313108227","https://openalex.org/W2338883878","https://openalex.org/W2396039003","https://openalex.org/W2620256273","https://openalex.org/W2622059266","https://openalex.org/W2765192561","https://openalex.org/W2770021561","https://openalex.org/W2781877551","https://openalex.org/W4232032783","https://openalex.org/W6646912188"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2349769824","https://openalex.org/W1995418324","https://openalex.org/W2211301776","https://openalex.org/W3104966193","https://openalex.org/W2275475525","https://openalex.org/W2060905804","https://openalex.org/W2921877942","https://openalex.org/W1494724239","https://openalex.org/W1485853333"],"abstract_inverted_index":{"In":[0],"this":[1,23,42,139],"paper,":[2],"a":[3,58,132],"new":[4],"approach":[5],"is":[6,141],"followed":[7],"for":[8],"the":[9,72,75,79,108,135],"human":[10],"recognition":[11,112],"task":[12],"using":[13,83,96],"brainwave":[14],"responses":[15],"to":[16,37,53,115,122,143,149],"auditory":[17,55],"stimulation.":[18],"A":[19],"system":[20,137],"based":[21,70],"on":[22,71,107],"class":[24],"of":[25,66,78,104],"brainwaves":[26],"benefits":[27],"extra":[28],"features":[29,67,93],"over":[30],"conventional":[31],"traits":[32],"being":[33],"more":[34,145],"secure,":[35],"harder":[36],"spoof,":[38],"and":[39,60,74,88,101,117],"cancelable.":[40],"For":[41],"purpose,":[43],"EEG":[44,80],"signals":[45],"were":[46,68,124],"recorded":[47],"from":[48],"21":[49],"subjects":[50],"while":[51],"listening":[52],"modulated":[54],"tones":[56],"in":[57,99,126,131,138,147],"single-":[59],"two-session":[61,133],"setups.":[62],"Three":[63],"different":[64],"types":[65],"evaluated":[69],"energy":[73],"entropy":[76],"estimation":[77],"sub-band":[81],"rhythms":[82],"narrow":[84],"band":[85],"Gaussian":[86],"filtering":[87],"wavelet":[89],"packet":[90],"decomposition.":[91],"These":[92],"are":[94],"classified":[95],"discriminant":[97],"analysis":[98],"identification":[100],"verification":[102],"modes":[103],"authentication.":[105],"Based":[106],"achieved":[109,125],"results,":[110],"high":[111],"rates":[113,120],"up":[114],"97.18%":[116],"low":[118],"error":[119],"down":[121],"4.3%":[123],"single":[127],"session":[128],"setup.":[129],"Moreover,":[130],"setup,":[134],"proposed":[136],"paper":[140],"shown":[142],"be":[144],"time-permanent":[146],"comparison":[148],"previous":[150],"works.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
