{"id":"https://openalex.org/W4405271993","doi":"https://doi.org/10.1109/icceic64099.2024.10775821","title":"Multi-Scale Convolutional Neural Network Based Ear- Electroencephalograph Identity Recognition","display_name":"Multi-Scale Convolutional Neural Network Based Ear- Electroencephalograph Identity Recognition","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4405271993","doi":"https://doi.org/10.1109/icceic64099.2024.10775821"},"language":"en","primary_location":{"id":"doi:10.1109/icceic64099.2024.10775821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","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/A5009793323","display_name":"Runze Han","orcid":"https://orcid.org/0000-0002-3618-5997"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongze Han","raw_affiliation_strings":["Dalian University,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University,Dalian,China","institution_ids":["https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009793323"],"corresponding_institution_ids":["https://openalex.org/I4210092944"],"apc_list":null,"apc_paid":null,"fwci":0.3624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60160626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9538000226020813,"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":0.9538000226020813,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7873543500900269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700223982334137},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6046665906906128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5493412613868713},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5460633039474487},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5458009243011475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47241225838661194},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07806217670440674},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05425894260406494}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7873543500900269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700223982334137},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6046665906906128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5493412613868713},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5460633039474487},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5458009243011475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47241225838661194},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07806217670440674},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05425894260406494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceic64099.2024.10775821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2056925087","https://openalex.org/W2291961022","https://openalex.org/W2604096629","https://openalex.org/W2949809416","https://openalex.org/W3005937603","https://openalex.org/W3019900571","https://openalex.org/W4379180596","https://openalex.org/W6681919955","https://openalex.org/W6762241614"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509"],"abstract_inverted_index":{"Biometrics":[0],"are":[1,32,68],"widely":[2],"used":[3],"in":[4,61,71,120,147],"the":[5,46,121,125,129,142,152],"field":[6],"of":[7,28,42,73,105,136,144,155],"information":[8],"security.":[9],"Compared":[10],"with":[11],"other":[12],"biometric":[13],"technologies":[14],"(such":[15],"as":[16,55],"fingerprint":[17],"and":[18,31,58,75,124],"iris":[19],"recognition),":[20],"electroencephalograph":[21],"(EEG)":[22],"rely":[23],"on":[24,91],"their":[25],"high":[26],"degree":[27],"individual":[29],"specificity":[30],"difficult":[33],"to":[34,108,118],"forge.":[35],"EEG":[36,48,107,146],"have":[37],"gradually":[38],"become":[39],"a":[40,85,92],"focus":[41],"identification":[43,122],"research.":[44],"However,":[45],"existing":[47,98],"recognition":[49,149],"technology":[50],"still":[51],"faces":[52],"problems":[53],"such":[54],"complex":[56],"equipment":[57],"inconvenient":[59],"operation":[60],"its":[62],"practical":[63],"application.":[64],"In":[65],"particular,":[66],"there":[67],"significant":[69],"shortcomings":[70],"terms":[72],"portability":[74],"utility.":[76],"To":[77],"solve":[78],"these":[79],"problems,":[80],"this":[81],"paper":[82],"innovatively":[83],"proposes":[84],"multi-scale":[86],"convolutional":[87],"neural":[88],"network":[89],"based":[90],"single-channel":[93,106],"portable":[94],"ear-EEG":[95],"device.":[96],"Combining":[97],"feature":[99],"extraction":[100],"algorithms,":[101],"computing":[102],"multi-dimensional":[103],"features":[104],"ultimately":[109],"optimize":[110],"classification":[111,134],"performance.":[112],"The":[113,138],"experiment":[114],"invited":[115],"14":[116],"subjects":[117],"participate":[119],"test,":[123],"results":[126,140],"showed":[127],"that":[128],"model":[130],"achieved":[131],"an":[132],"average":[133],"accuracy":[135],"86.48%\u2022":[137],"experimental":[139],"verify":[141],"effectiveness":[143],"ear":[145],"identity":[148],"applications.":[150],"Expanding":[151],"Application":[153],"Prospects":[154],"Ear-Electroencephalography":[156],"Identity":[157],"Recognition":[158],"Technology.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}