{"id":"https://openalex.org/W3131014725","doi":"https://doi.org/10.1109/tdsc.2021.3060775","title":"Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network","display_name":"Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network","publication_year":2021,"publication_date":"2021-02-22","ids":{"openalex":"https://openalex.org/W3131014725","doi":"https://doi.org/10.1109/tdsc.2021.3060775","mag":"3131014725"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2021.3060775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2021.3060775","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5087557540","display_name":"Essam Debie","orcid":"https://orcid.org/0000-0003-4954-3631"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Essam Debie","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4954-3631","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089327837","display_name":"Nour Moustafa","orcid":"https://orcid.org/0000-0001-6127-9349"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nour Moustafa","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6127-9349","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074022699","display_name":"Athanasios V. Vasilakos","orcid":"https://orcid.org/0000-0003-1902-9877"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Athanasios Vasilakos","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1905,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.87093656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"19","issue":"4","first_page":"2488","last_page":"2500"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9811000227928162,"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/computer-science","display_name":"Computer science","score":0.8311300277709961},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7188746929168701},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7185020446777344},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6613741517066956},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6399388909339905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5620741248130798},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5474397540092468},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5434094667434692},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5291574001312256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4689920246601105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35198578238487244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8311300277709961},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7188746929168701},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7185020446777344},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6613741517066956},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6399388909339905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5620741248130798},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5474397540092468},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5434094667434692},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5291574001312256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4689920246601105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35198578238487244},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2021.3060775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2021.3060775","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W222827149","https://openalex.org/W945383060","https://openalex.org/W1491186747","https://openalex.org/W1560157848","https://openalex.org/W1836465849","https://openalex.org/W1839614580","https://openalex.org/W1978293524","https://openalex.org/W1994321338","https://openalex.org/W2006748433","https://openalex.org/W2022132396","https://openalex.org/W2041260381","https://openalex.org/W2047093141","https://openalex.org/W2057630969","https://openalex.org/W2063483288","https://openalex.org/W2076234214","https://openalex.org/W2078952398","https://openalex.org/W2086021750","https://openalex.org/W2095705004","https://openalex.org/W2097809233","https://openalex.org/W2109606349","https://openalex.org/W2129906762","https://openalex.org/W2132360759","https://openalex.org/W2134577338","https://openalex.org/W2150590430","https://openalex.org/W2152119085","https://openalex.org/W2181315643","https://openalex.org/W2250798172","https://openalex.org/W2261365252","https://openalex.org/W2331807147","https://openalex.org/W2396039003","https://openalex.org/W2531409750","https://openalex.org/W2535628815","https://openalex.org/W2538131772","https://openalex.org/W2538789180","https://openalex.org/W2559463885","https://openalex.org/W2590420622","https://openalex.org/W2606073881","https://openalex.org/W2620256273","https://openalex.org/W2736159905","https://openalex.org/W2768494619","https://openalex.org/W2792724009","https://openalex.org/W2823613278","https://openalex.org/W2891007343","https://openalex.org/W2896577143","https://openalex.org/W2898161677","https://openalex.org/W2911312349","https://openalex.org/W2912885887","https://openalex.org/W2920553042","https://openalex.org/W2925281733","https://openalex.org/W2957657110","https://openalex.org/W2972480612","https://openalex.org/W2999896756","https://openalex.org/W3091180004","https://openalex.org/W3102455230","https://openalex.org/W3103608651","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W621808327","https://openalex.org/W2076845124","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Brain":[0],"signals":[1,53],"are":[2,78],"potential":[3],"biometric":[4,11,40,74],"markers":[5,41],"in":[6,90],"user":[7],"authentication,":[8],"complementing":[9],"existing":[10],"authentication":[12],"techniques":[13],"(such":[14],"as":[15],"those":[16],"based":[17,188],"on":[18,122,133],"fingerprint,":[19],"iris":[20],"and":[21,36,111,143,196],"facial":[22],"recognition).":[23],"This":[24],"article":[25],"proposes":[26],"a":[27],"novel":[28],"EEG":[29,39,52,115,124,139],"fusion":[30,159,182,202],"method":[31,119],"to":[32,80],"examine":[33],"the":[34,71,179,194,200],"reliability":[35,197],"durability":[37,72,195],"of":[38,73,113,199],"across":[42,84],"recording":[43],"sessions.":[44],"Our":[45],"hypothesis":[46],"is":[47,106,120],"that":[48,64,154],"models":[49,156,168,176],"trained":[50,169,177],"using":[51,136],"collected":[54,128],"during":[55],"various":[56],"elicitation":[57,140],"protocols":[58,77],"can":[59,69,88,160],"capture":[60],"generalised":[61],"brain":[62,85],"patterns":[63],"pertain":[65],"personalised":[66],"information":[67],"which":[68,87,126],"improve":[70],"systems.":[75],"Different":[76],"likely":[79],"produce":[81],"different":[82,134,138],"responses":[83,93],"regions,":[86],"result":[89],"more":[91],"identifiable":[92],"from":[94],"EEG.":[95],"In":[96,173],"our":[97],"approach,":[98],"an":[99],"end-to-end":[100],"convolutional":[101],"neural":[102],"network":[103],"(CNN)":[104],"model":[105],"adopted":[107],"for":[108,149],"feature":[109],"extraction":[110],"classification":[112],"raw":[114],"data.":[116],"The":[117,190],"proposed":[118,180,201],"evaluated":[121],"two":[123,130],"datasets":[125],"were":[127,146],"over":[129],"separate":[131],"sessions":[132],"days":[135],"multiple":[137],"protocols.":[141],"Within-session":[142],"across-session":[144,174],"experiments":[145,152],"conducted.":[147],"Results":[148],"within":[150],"session":[151],"showed":[153],"CNN":[155],"with":[157,170,178],"protocol":[158,181,187],"achieve":[161],"similar":[162],"if":[163],"not":[164],"better":[165],"results":[166,192],"than":[167],"single":[171,186],"protocol.":[172],"scenarios,":[175],"approach":[183],"significantly":[184],"outperformed":[185],"models.":[189],"obtained":[191],"illustrate":[193],"capabilities":[198],"approach.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
