{"id":"https://openalex.org/W4392411936","doi":"https://doi.org/10.1109/ijcb57857.2023.10448909","title":"Unconventional Biometrics: Exploring the Feasibility of a Cognitive Trait based on Visual Self-Recognition","display_name":"Unconventional Biometrics: Exploring the Feasibility of a Cognitive Trait based on Visual Self-Recognition","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4392411936","doi":"https://doi.org/10.1109/ijcb57857.2023.10448909"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb57857.2023.10448909","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb57857.2023.10448909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","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/A5052485315","display_name":"Hendrik Graupner","orcid":"https://orcid.org/0000-0002-5305-1624"},"institutions":[{"id":"https://openalex.org/I4210147761","display_name":"Bundesdruckerei (Germany)","ror":"https://ror.org/055jqqn57","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210147761"]},{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hendrik Graupner","raw_affiliation_strings":["University of Potsdam,Hasso Plattner Institute,Germany","Bundesdruckerei GmbH, Berlin, Germany","Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam,Hasso Plattner Institute,Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"raw_affiliation_string":"Bundesdruckerei GmbH, Berlin, Germany","institution_ids":["https://openalex.org/I4210147761"]},{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048346021","display_name":"Lisa Schwetlick","orcid":"https://orcid.org/0000-0003-3356-8324"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lisa Schwetlick","raw_affiliation_strings":["University of Potsdam,Department of Psychology,Germany","Department of Psychology, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam,Department of Psychology,Germany","institution_ids":["https://openalex.org/I176453806"]},{"raw_affiliation_string":"Department of Psychology, University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035868844","display_name":"Ralf Engbert","orcid":"https://orcid.org/0000-0002-2909-5811"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Engbert","raw_affiliation_strings":["University of Potsdam,Department of Psychology,Germany","Department of Psychology, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam,Department of Psychology,Germany","institution_ids":["https://openalex.org/I176453806"]},{"raw_affiliation_string":"Department of Psychology, University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102919398","display_name":"Christoph Meinel","orcid":"https://orcid.org/0000-0002-3410-3193"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Meinel","raw_affiliation_strings":["University of Potsdam,Hasso Plattner Institute,Germany","Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam,Hasso Plattner Institute,Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052485315"],"corresponding_institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806","https://openalex.org/I4210147761"],"apc_list":null,"apc_paid":null,"fwci":0.3621,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6054418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9800000190734863,"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/T11094","display_name":"Face Recognition and Perception","score":0.9800000190734863,"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/T10828","display_name":"Biometric Identification and Security","score":0.9573000073432922,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9074000120162964,"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/biometrics","display_name":"Biometrics","score":0.8725258111953735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6669288277626038},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.56728196144104},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5402061939239502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4059661030769348},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34869149327278137},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.328795850276947},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2096330225467682},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07195344567298889}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8725258111953735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6669288277626038},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.56728196144104},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5402061939239502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4059661030769348},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34869149327278137},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.328795850276947},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2096330225467682},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07195344567298889},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb57857.2023.10448909","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb57857.2023.10448909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W179861874","https://openalex.org/W1516387912","https://openalex.org/W1554675373","https://openalex.org/W1580980576","https://openalex.org/W1723494554","https://openalex.org/W1903340714","https://openalex.org/W1977043037","https://openalex.org/W1981616671","https://openalex.org/W2007163867","https://openalex.org/W2036916152","https://openalex.org/W2037664959","https://openalex.org/W2046886788","https://openalex.org/W2140079265","https://openalex.org/W2153076044","https://openalex.org/W2157703076","https://openalex.org/W2170941890","https://openalex.org/W2316482457","https://openalex.org/W2549090644","https://openalex.org/W2612085556","https://openalex.org/W2788657169","https://openalex.org/W2793050579","https://openalex.org/W2911312349","https://openalex.org/W2955871884","https://openalex.org/W3005837602","https://openalex.org/W3104502007","https://openalex.org/W3127956492","https://openalex.org/W3147438041","https://openalex.org/W3215695722","https://openalex.org/W4205376988","https://openalex.org/W4210271978","https://openalex.org/W4284885576","https://openalex.org/W4313590887","https://openalex.org/W4360103621","https://openalex.org/W4385436462","https://openalex.org/W6684430732","https://openalex.org/W6699342439","https://openalex.org/W6850856322","https://openalex.org/W6855536760"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W4300552992"],"abstract_inverted_index":{"Biometric":[0],"recognition":[1],"systems":[2],"are":[3],"an":[4,35,58,114],"integral":[5],"part":[6],"of":[7,57,65,69,76,82,93,116],"security":[8],"in":[9,27,78],"modern":[10],"computer":[11],"systems.":[12],"Contrary":[13],"to":[14,19,42,95,156,161],"related":[15],"work,":[16],"our":[17],"approach":[18],"biometrics":[20],"does":[21],"not":[22],"base":[23],"on":[24,52,109,144],"individual":[25],"patterns":[26],"sensor":[28],"data.":[29],"We":[30],"measure":[31],"visual":[32,63],"self-recognition":[33,64,77,124,135,160],"as":[34,45],"in-brain":[36],"identity":[37],"validation":[38],"mechanism":[39],"and":[40,85,147],"aim":[41],"employ":[43],"it":[44],"a":[46,53,106,127],"biometric":[47,129],"trait.":[48,130],"This":[49],"work":[50,143],"builds":[51],"public":[54],"data":[55,72,111],"set":[56],"eye-tracking":[59,140],"study":[60],"investigating":[61],"the":[62,79,91,121],"116":[66],"volunteers.":[67],"Exploration":[68],"this":[70],"high-quality":[71],"revealed":[73],"significant":[74],"effects":[75],"time":[80],"course":[81],"pupil":[83],"size":[84],"microsaccade":[86],"generation.":[87],"These":[88],"findings":[89],"facilitated":[90],"extraction":[92,150],"features":[94],"train":[96],"four":[97],"different":[98],"experimental":[99],"classification":[100],"models.":[101],"The":[102],"best-performing":[103],"model":[104,145],"is":[105,151],"pre-trained":[107],"classifier":[108],"integrated":[110],"by":[112],"achieving":[113],"accuracy":[115],"0.82.":[117],"Our":[118],"research":[119],"supports":[120],"hypothesis":[122],"that":[123,134],"can":[125,136],"be":[126,137],"feasible":[128],"Furthermore,":[131],"we":[132],"found":[133],"measured":[138],"using":[139],"devices.":[141],"Future":[142],"optimization":[146],"additional":[148],"feature":[149],"required.":[152],"It":[153],"will":[154],"enable":[155],"introduce":[157],"technologies":[158],"utilizing":[159],"real-world":[162],"applications.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}