{"id":"https://openalex.org/W1502536463","doi":"https://doi.org/10.1109/tai.2003.1250250","title":"An L-G and SPNG based model for brain biometrics","display_name":"An L-G and SPNG based model for brain biometrics","publication_year":2004,"publication_date":"2004-03-01","ids":{"openalex":"https://openalex.org/W1502536463","doi":"https://doi.org/10.1109/tai.2003.1250250","mag":"1502536463"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2003.1250250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2003.1250250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence","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/A5025446324","display_name":"Nikolaos Bourbakis","orcid":"https://orcid.org/0000-0003-1507-614X"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N. Bourbakis","raw_affiliation_strings":["Information Technology Research Institute, Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Information Technology Research Institute, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074243216","display_name":"Sokratis Makrogiannis","orcid":"https://orcid.org/0000-0003-0316-3529"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Makrogiannis","raw_affiliation_strings":["Information Technology Research Institute, Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Information Technology Research Institute, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025446324"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03487759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"628","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9966999888420105,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9966999888420105,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9955000281333923,"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":0.9850999712944031,"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/polygraph","display_name":"Polygraph","score":0.8368870615959167},{"id":"https://openalex.org/keywords/lie-detection","display_name":"Lie detection","score":0.7228844165802002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738057136535645},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6260460019111633},{"id":"https://openalex.org/keywords/lying","display_name":"Lying","score":0.6011882424354553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327513217926025},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.530070424079895},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5046864748001099},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.48933690786361694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37056344747543335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3634756803512573},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.32128965854644775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.25231999158859253},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2442767322063446},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.17272073030471802}],"concepts":[{"id":"https://openalex.org/C37428701","wikidata":"https://www.wikidata.org/wiki/Q1686381","display_name":"Polygraph","level":2,"score":0.8368870615959167},{"id":"https://openalex.org/C2776437466","wikidata":"https://www.wikidata.org/wiki/Q60920","display_name":"Lie detection","level":3,"score":0.7228844165802002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738057136535645},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6260460019111633},{"id":"https://openalex.org/C119421448","wikidata":"https://www.wikidata.org/wiki/Q2268776","display_name":"Lying","level":2,"score":0.6011882424354553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327513217926025},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.530070424079895},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5046864748001099},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.48933690786361694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37056344747543335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3634756803512573},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.32128965854644775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25231999158859253},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2442767322063446},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.17272073030471802},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2003.1250250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2003.1250250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1562919956","https://openalex.org/W2005962335","https://openalex.org/W2043814505","https://openalex.org/W2044929988","https://openalex.org/W2053371355","https://openalex.org/W2604778133"],"related_works":["https://openalex.org/W2948663225","https://openalex.org/W4281711722","https://openalex.org/W2090143078","https://openalex.org/W616960231","https://openalex.org/W2156479290","https://openalex.org/W1596449093","https://openalex.org/W1571538187","https://openalex.org/W3124400455","https://openalex.org/W2107509895","https://openalex.org/W2263820863"],"abstract_inverted_index":{"This":[0],"paper":[1,108],"presents":[2],"a":[3,46,111,187,204,225],"brain":[4,121,124,145],"based":[5,28,113],"biometrics":[6],"methodology":[7,112],"using":[8,166],"local":[9],"global":[10],"(L-G)":[11],"and":[12,36,41,101,116,156,177,193],"stochastic":[13],"Petri":[14],"net":[15],"(SPN)":[16],"graphs.":[17,164],"In":[18],"particular,":[19],"today's":[20],"most":[21],"used":[22],"lying":[23,100],"detection":[24],"systems":[25],"(polygraph)":[26],"are":[27,154,159],"on":[29,114],"blood":[30],"pressure":[31],"under":[32,64],"certain":[33,131,150],"psychological":[34,62,72],"conditions":[35,63],"have":[37],"been":[38],"proven":[39],"inadequate":[40],"inaccurate":[42],"for":[43,139],"determining":[44],"if":[45],"person":[47],"is":[48,60,67,223],"saying":[49],"the":[50,61,65,83,90,103,117,120,140,144,162,175,182,209,215,221,239],"truth":[51,210],"or":[52,76,123],"not.":[53],"The":[54,217],"main":[55,218],"reason":[56,219],"behind":[57],"this":[58,107],"inaccuracy":[59],"test":[66,84],"contacting.":[68],"Innocent":[69],"persons":[70,94],"with":[71,95,161],"fear":[73],"to":[74,186,234,237],"police":[75],"FBI":[77],"agents":[78],"may":[79,98],"inappropriately":[80],"react":[81],"during":[82,146,214],"producing":[85],"false":[86,212],"alarms,":[87],"while":[88],"at":[89],"same":[91],"time":[92],"guilty":[93],"acting":[96],"capabilities":[97],"be":[99,228],"pass":[102],"test.":[104,216],"Here":[105],"in":[106,198],"we":[109,169],"present":[110],"fMRI":[115,135,184],"way":[118],"that":[119,224],"cells":[122],"regions":[125,142],"interact":[126],"regarding":[127],"thinking":[128,147],"and/or":[129,148],"executing":[130],"tasks.":[132,151],"More":[133],"specifically,":[134],"provides":[136],"color":[137],"images":[138,185],"active":[141],"of":[143,189,208,211],"performing":[149],"These":[152],"region-images":[153],"extracted":[155,180],"geometrically":[157],"(topologically)":[158],"associated":[160],"L-G":[163,176,192],"Then":[165],"SPN":[167,178,194],"graphs":[168,179],"represent":[170],"their":[171],"functionality.":[172],"Thus,":[173],"comparing":[174],"from":[181],"candidate":[183],"set":[188],"\"correct\"":[190],"generic":[191],"graph":[195,201],"models":[196],"available":[197],"an":[199],"L-G/SPN":[200],"database":[202],"offers":[203],"more":[205],"accurate":[206],"measurement":[207],"answers":[213],"about":[220],"accuracy":[222],"liar":[226],"will":[227,232],"detected":[229],"because":[230],"he/she":[231],"try":[233],"\"think\"":[235],"how":[236],"avoid":[238],"truth.":[240]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
