{"id":"https://openalex.org/W2535628815","doi":"https://doi.org/10.1109/spmb.2014.7002950","title":"Exploring EEG-based biometrics for user identification and authentication","display_name":"Exploring EEG-based biometrics for user identification and authentication","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2535628815","doi":"https://doi.org/10.1109/spmb.2014.7002950","mag":"2535628815"},"language":"en","primary_location":{"id":"doi:10.1109/spmb.2014.7002950","doi":"https://doi.org/10.1109/spmb.2014.7002950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spmb.2014.7002950","pdf_url":null,"source":{"id":"https://openalex.org/S4393918537","display_name":"IEEE Signal Processing in Medicine and Biology Symposium","issn_l":"2372-7241","issn":["2372-7241"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","raw_type":"proceedings-article"},"volume":null,"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/A5028621985","display_name":"Qiong Gui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiong Gui","raw_affiliation_strings":["Department of Electrical and Computer Engineering Binghamton University, State University of New York (SUNY), Binghamton, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Binghamton University, State University of New York (SUNY), Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044439388","display_name":"Zhanpeng Jin","orcid":"https://orcid.org/0000-0002-3020-3736","observed_orcids":["https://orcid.org/0000-0002-3020-3736"]},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhanpeng Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering Binghamton University, State University of New York (SUNY), Binghamton, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Binghamton University, State University of New York (SUNY), Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035679293","display_name":"Wenyao Xu","orcid":"https://orcid.org/0000-0001-6444-9411","observed_orcids":["https://orcid.org/0000-0001-6444-9411"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyao Xu","raw_affiliation_strings":["Department of Computer Science and Engineering University at Buffalo, State University of New York (SUNY), Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering University at Buffalo, State University of New York (SUNY), Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2627,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.97518273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"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/T10828","display_name":"Biometric Identification and Security","score":0.9359999895095825,"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/T10828","display_name":"Biometric Identification and Security","score":0.9359999895095825,"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/T11800","display_name":"User Authentication and Security Systems","score":0.05400000140070915,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0032999999821186066,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/eeg-biometrics","display_name":"EEG biometrics","score":0.9039999842643738},{"id":"https://openalex.org/keywords/brainwave-signals","display_name":"brainwave signals","score":0.6909999847412109},{"id":"https://openalex.org/keywords/user-authentication","display_name":"user authentication","score":0.8169999718666077},{"id":"https://openalex.org/keywords/user-identification","display_name":"user identification","score":0.9750000238418579},{"id":"https://openalex.org/keywords/ensemble-averaging","display_name":"ensemble averaging","score":0.6890000104904175},{"id":"https://openalex.org/keywords/low-pass-filtering","display_name":"low-pass filtering","score":0.9559999704360962},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"wavelet packet decomposition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/artificial-neural-network-classification","display_name":"artificial neural network classification","score":0.8539999723434448},{"id":"https://openalex.org/keywords/biometric-security","display_name":"biometric security","score":0.4880000054836273}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9016034603118896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849920988082886},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6193276047706604},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5608657598495483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5015897750854492},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48941031098365784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4566560983657837},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4519609212875366},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.4516744017601013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4344737231731415},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4257630705833435},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42350995540618896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4158664345741272},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3711753487586975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413395285606384},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32766157388687134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10871335864067078},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/spmb.2014.7002950","doi":"https://doi.org/10.1109/spmb.2014.7002950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spmb.2014.7002950","pdf_url":null,"source":{"id":"https://openalex.org/S4393918537","display_name":"IEEE Signal Processing in Medicine and Biology Symposium","issn_l":"2372-7241","issn":["2372-7241"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.9036","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.9036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.buffalo.edu/%7Ewenyaoxu/papers/conference/xu-spmb2014b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W81271567","https://openalex.org/W138207775","https://openalex.org/W651029204","https://openalex.org/W1498961005","https://openalex.org/W1561903397","https://openalex.org/W1723494554","https://openalex.org/W1903340714","https://openalex.org/W1908362199","https://openalex.org/W1968918799","https://openalex.org/W1978293524","https://openalex.org/W1980837896","https://openalex.org/W1986197724","https://openalex.org/W1994914731","https://openalex.org/W1999887552","https://openalex.org/W2001895408","https://openalex.org/W2006748433","https://openalex.org/W2013043901","https://openalex.org/W2032642642","https://openalex.org/W2033814892","https://openalex.org/W2045780196","https://openalex.org/W2046787662","https://openalex.org/W2063483288","https://openalex.org/W2086021750","https://openalex.org/W2089648273","https://openalex.org/W2092708878","https://openalex.org/W2097245267","https://openalex.org/W2122338988","https://openalex.org/W2128088507","https://openalex.org/W2130133014","https://openalex.org/W2134577338","https://openalex.org/W2135909881","https://openalex.org/W2136365570","https://openalex.org/W2138444990","https://openalex.org/W2154574840","https://openalex.org/W2160845636","https://openalex.org/W2215223852","https://openalex.org/W2400468722","https://openalex.org/W2541869646","https://openalex.org/W2546677864","https://openalex.org/W2947970098","https://openalex.org/W2962772573","https://openalex.org/W4231308455"],"related_works":["https://openalex.org/W4379979504","https://openalex.org/W7160864972","https://openalex.org/W4296761232","https://openalex.org/W2046787662","https://openalex.org/W4413221376","https://openalex.org/W4285597366","https://openalex.org/W4403025097","https://openalex.org/W2130270001","https://openalex.org/W4382936843","https://openalex.org/W2538131772"],"abstract_inverted_index":{"As":[0],"human":[1],"brain":[2],"activities,":[3],"represented":[4],"by":[5],"EEG":[6],"brainwave":[7],"signals,":[8],"are":[9],"more":[10,27],"confidential,":[11],"sensitive,":[12],"and":[13,17,34,57,67],"hard":[14],"to":[15,23,49,82],"steal":[16],"replicate,":[18],"they":[19],"hold":[20],"great":[21],"promise":[22],"provide":[24],"a":[25,101,129,137,164],"far":[26],"secure":[28],"biometric":[29,43,173],"approach":[30],"for":[31,167],"user":[32],"identification":[33],"authentication.":[35,88],"In":[36],"this":[37],"study,":[38],"we":[39,47],"present":[40],"an":[41,72,148],"EEG-based":[42],"security":[44],"framework.":[45],"Specifically,":[46],"propose":[48],"reduce":[50],"the":[51,93,133,153],"noise":[52],"level":[53],"through":[54],"ensemble":[55],"averaging":[56],"low-pass":[58],"filter,":[59],"extract":[60],"frequency":[61],"features":[62],"using":[63],"wavelet":[64],"packet":[65],"decomposition,":[66],"perform":[68],"classification":[69,94,138,156],"based":[70],"on":[71,150],"artificial":[73],"neural":[74],"network.":[75],"We":[76],"explicitly":[77],"discuss":[78],"four":[79],"different":[80,84],"scenarios":[81],"emulate":[83],"application":[85],"cases":[86],"in":[87],"Experimental":[89],"results":[90],"show":[91],"that:":[92],"rates":[95,157],"of":[96,104,140,158,170],"distinguishing":[97],"one":[98],"subject":[99,127],"or":[100],"small":[102],"group":[103],"individuals":[105],"(e.g.,":[106,111],"authorized":[107],"personnel)":[108,113],"from":[109,128],"others":[110],"unauthorized":[112],"can":[114],"reach":[115],"around":[116,159],"90%.":[117],"However,":[118],"it":[119],"is":[120],"also":[121],"shown":[122],"that":[123],"recognizing":[124],"each":[125],"individual":[126],"large":[130],"pool":[131],"has":[132],"worst":[134],"performance":[135],"with":[136,155],"rate":[139],"less":[141],"than":[142],"11%.":[143],"The":[144],"side-by-side":[145],"method":[146],"shows":[147],"improvement":[149],"identifying":[151],"all":[152],"subjects":[154],"40%.":[160],"Our":[161],"study":[162],"lays":[163],"solid":[165],"foundation":[166],"future":[168],"investigation":[169],"innovative,":[171],"brainwave-based":[172],"approaches.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":5}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-10-28T00:00:00"}
