{"id":"https://openalex.org/W2587168319","doi":"https://doi.org/10.1109/smc.2016.7844987","title":"Utilizing individual alpha frequency and delta band power in EEG based biometric recognition","display_name":"Utilizing individual alpha frequency and delta band power in EEG based biometric recognition","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587168319","doi":"https://doi.org/10.1109/smc.2016.7844987","mag":"2587168319"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5036437730","display_name":"Kavitha P. Thomas","orcid":"https://orcid.org/0000-0002-8134-2242"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kavitha P Thomas","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042105714","display_name":"A. P. Vinod","orcid":"https://orcid.org/0000-0001-9408-1275"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"A. P. Vinod","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036437730"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.4626,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.81751609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"004787","last_page":"004791"},"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":0.9954000115394592,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9947999715805054,"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":0.8486021757125854},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8086456060409546},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7112082242965698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6869478225708008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6576060652732849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.573809027671814},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.5620593428611755},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49897146224975586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4958091676235199},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48424097895622253},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4223410487174988},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4156855344772339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19675686955451965},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12118718028068542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0679824948310852}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8486021757125854},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8086456060409546},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7112082242965698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6869478225708008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576060652732849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.573809027671814},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.5620593428611755},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49897146224975586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4958091676235199},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48424097895622253},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4223410487174988},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4156855344772339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19675686955451965},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12118718028068542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0679824948310852},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/smc.2016.7844987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-106498","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-106498","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-106498","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-106498","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W303764274","https://openalex.org/W1996687698","https://openalex.org/W2011584637","https://openalex.org/W2035465245","https://openalex.org/W2057754878","https://openalex.org/W2098330912","https://openalex.org/W2105286705","https://openalex.org/W2130817593","https://openalex.org/W2134577338","https://openalex.org/W2151669316","https://openalex.org/W2154691736","https://openalex.org/W2162800060","https://openalex.org/W2168139186","https://openalex.org/W2250798172","https://openalex.org/W2277421542"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2076845124","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Brain":[0,22],"activities":[1],"are":[2,14],"inherently":[3],"determined":[4],"by":[5,25,120],"a":[6,43],"person's":[7],"unique":[8],"pattern":[9],"of":[10,71,100,113,141],"neural":[11],"pathways":[12],"and":[13,56,66,97,126,145,162],"closely":[15],"associated":[16],"with":[17],"his/her":[18],"genetic":[19],"personality":[20],"traits.":[21],"activity":[23],"recorded":[24,74],"electroencephalogram":[26],"(EEG),":[27],"has":[28,86],"recently":[29],"been":[30,87],"regarded":[31],"as":[32],"potential":[33],"candidate":[34],"in":[35,148],"future":[36,149],"generation":[37],"biometric":[38,44,150],"systems.":[39,152],"In":[40],"this":[41],"paper,":[42],"identification":[45],"system":[46,161],"is":[47,118,155],"proposed,":[48],"combining":[49,121,142],"subject-specific":[50,143],"alpha":[51,127,144],"peak":[52,54],"frequency,":[53],"power":[55,59],"delta":[57,125,146],"band":[58],"values":[60],"to":[61,115,157,163],"form":[62],"discriminative":[63],"feature":[64],"vectors":[65],"templates.":[67],"A":[68],"public":[69],"dataset":[70],"EEG":[72,103,133],"signals":[73],"from":[75,105,124,130],"109":[76],"healthy":[77],"subjects":[78],"during":[79],"eyes":[80],"open/closed":[81],"(EO/EC)":[82],"relaxed":[83],"rest":[84],"states,":[85],"analyzed":[88],"here.":[89],"Using":[90],"simple":[91],"similarity":[92],"measurements":[93],"based":[94],"on":[95],"correlation":[96],"distance":[98],"measures":[99],"the":[101,106,139,160],"test":[102],"sequences":[104],"template":[107],"vectors,":[108],"an":[109],"average":[110],"recognition":[111,151,165],"rate":[112],"up":[114],"90":[116],"%":[117],"achieved,":[119],"spectral":[122],"features":[123],"bands":[128,147],"extracted":[129],"selected":[131],"19":[132],"channels.":[134],"Experimental":[135],"results":[136],"explicitly":[137],"show":[138],"usefulness":[140],"Further":[153],"investigation":[154],"essential":[156],"precisely":[158],"analyze":[159],"improve":[164],"accuracy.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
