{"id":"https://openalex.org/W4312096548","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980163","title":"An Identification Recognition Method Based on the Optimization Mechanism of Emotional EEG Module","display_name":"An Identification Recognition Method Based on the Optimization Mechanism of Emotional EEG Module","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312096548","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980163"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9980163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980163","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5045398275","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-4432-3509"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Xu","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628333","display_name":"Jiaxing Zhang","orcid":"https://orcid.org/0000-0002-1324-6486"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045398275"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16607981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9815000295639038,"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/biometrics","display_name":"Biometrics","score":0.7472168207168579},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7432173490524292},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7049497961997986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636618971824646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.577459990978241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5405591130256653},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5277281999588013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5179440379142761},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5051468014717102},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4516262114048004},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4283928871154785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27717500925064087},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2013598084449768}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7472168207168579},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7432173490524292},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7049497961997986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636618971824646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.577459990978241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5405591130256653},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5277281999588013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5179440379142761},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5051468014717102},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4516262114048004},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4283928871154785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27717500925064087},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2013598084449768},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9980163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980163","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1723494554","https://openalex.org/W1839614580","https://openalex.org/W1902237438","https://openalex.org/W1903340714","https://openalex.org/W1980932292","https://openalex.org/W2056181291","https://openalex.org/W2134577338","https://openalex.org/W2138444990","https://openalex.org/W2144498453","https://openalex.org/W2147174595","https://openalex.org/W2155370225","https://openalex.org/W2170941890","https://openalex.org/W2171693931","https://openalex.org/W2535628815","https://openalex.org/W2541869646","https://openalex.org/W2546027346","https://openalex.org/W2561253258","https://openalex.org/W2606073881","https://openalex.org/W2979492580","https://openalex.org/W3000824953","https://openalex.org/W3024961463"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W4300552992"],"abstract_inverted_index":{"With":[0],"the":[1,25,35,65,79,106,139,145,168,174,193,199,208,212],"rapid":[2],"development":[3],"of":[4,37,49,59,67,81,110,198,211],"informati":[5],"on":[6],"society,":[7],"people's":[8],"demand":[9],"for":[10,173],"personal":[11],"privacy":[12],"a":[13,44,56,94,183],"nd":[14],"property":[15],"protection":[16],"has":[17,30,51],"become":[18],"stronger":[19],"and":[20,73,84,117,144,207],"st":[21],"ronger.":[22],"At":[23],"present,":[24],"traditional":[26],"biometric":[27,47],"techno":[28],"logy":[29],"been":[31],"difficult":[32,68],"to":[33,63,69,78,152,167],"meet":[34],"needs":[36],"social":[38],"de":[39],"velopment.":[40],"Electroencephalography":[41],"(EEG),":[42],"as":[43,124],"un":[45],"ique":[46],"feature":[48],"individuals,":[50],"received":[52],"wide":[53],"attention":[54],"from":[55],"large":[57],"number":[58],"researchers.":[60],"In":[61],"order":[62],"solve":[64],"problems":[66],"apply":[70],"in":[71,86,90,102,119,182,201],"practice":[72],"low":[74],"recognition":[75,97,142,170,195,209],"accuracy":[76,210],"due":[77],"induction":[80],"specific":[82],"situations":[83],"differences":[85],"i":[87],"ndividual":[88],"characteristics":[89],"EEG":[91,120,146,186],"data":[92],"acquisition,":[93],"PSO-Attention-RNN":[95],"(PARNN)":[96],"mode":[98],"1":[99],"is":[100],"proposed":[101],"this":[103,202],"paper.":[104],"Firstly,":[105],"energy":[107],"entro":[108],"py":[109],"five":[111],"rhythms,":[112],"a-wave,":[113],"\u00df-wave,":[114],"\u03b4-wave,":[115],"\u03b8-wave":[116],"\u03b3-wave,":[118],"signals":[121],"are":[122,135,157],"extracted":[123],"featur":[125],"e":[126],"vectors":[127],"by":[128],"using":[129,159],"wavelet":[130],"packet":[131],"transform.":[132],"These":[133],"features":[134],"then":[136],"input":[137],"into":[138],"PARNN":[140],"optimized":[141],"model,":[143],"temporal":[147],"frequen":[148],"cy":[149,197],"bands":[150],"corresponding":[151],"different":[153],"emotional":[154,185],"mod":[155],"ules":[156],"filtered":[158],"particle":[160],"swarm":[161],"optimization":[162],"(PSO),":[163],"which":[164],"can":[165,204],"lead":[166],"highest":[169],"ac":[171],"curacy":[172],"subjects.":[175],"The":[176],"whole":[177],"process":[178],"was":[179],"vali":[180],"dated":[181],"self-collected":[184],"database.":[187],"T":[188],"he":[189],"results":[190],"show":[191],"that":[192],"average":[194],"accura":[196],"algorithm":[200],"paper":[203],"reach":[205],"90.99%,":[206],"positive":[213],"emotio":[214],"n":[215],"module":[216],"reaches":[217],"93.72%.":[218]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}