{"id":"https://openalex.org/W2774696926","doi":"https://doi.org/10.1109/smc.2017.8122606","title":"Brain dynamic states analysis based on 3D convolutional neural network","display_name":"Brain dynamic states analysis based on 3D convolutional neural network","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774696926","doi":"https://doi.org/10.1109/smc.2017.8122606","mag":"2774696926"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/126678/4/Brain%20Dynamic%20States%20Analysis%20based%203D%20Convolutional%20Neural%20Network_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047593490","display_name":"Yu-Chia Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yu-Chia Hung","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773301","display_name":"Yu\u2013Kai Wang","orcid":"https://orcid.org/0000-0001-8390-2664"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu-Kai Wang","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047593490"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.8741,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86493651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"222","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9951000213623047,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7701368927955627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7233840823173523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936146020889282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6344406604766846},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6273396015167236},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6236501932144165},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.588442325592041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5857425332069397},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5106855034828186},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49612364172935486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4412662088871002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14953464269638062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12098142504692078},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07610368728637695}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7701368927955627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7233840823173523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936146020889282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6344406604766846},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6273396015167236},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6236501932144165},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.588442325592041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5857425332069397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5106855034828186},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49612364172935486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4412662088871002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14953464269638062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12098142504692078},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07610368728637695},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc.2017.8122606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/126678","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/126678","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/126678/4/Brain%20Dynamic%20States%20Analysis%20based%203D%20Convolutional%20Neural%20Network_final.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/126678","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/126678","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/126678/4/Brain%20Dynamic%20States%20Analysis%20based%203D%20Convolutional%20Neural%20Network_final.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2774696926.pdf","grobid_xml":"https://content.openalex.org/works/W2774696926.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1963970871","https://openalex.org/W1983364832","https://openalex.org/W1985261475","https://openalex.org/W1995562189","https://openalex.org/W2001051735","https://openalex.org/W2016053056","https://openalex.org/W2023133322","https://openalex.org/W2050107338","https://openalex.org/W2050265252","https://openalex.org/W2136343590","https://openalex.org/W2161077659","https://openalex.org/W2163605009","https://openalex.org/W2165269982","https://openalex.org/W2165611870","https://openalex.org/W2244991220","https://openalex.org/W2248062269","https://openalex.org/W2315796184","https://openalex.org/W4241615709","https://openalex.org/W6609194641","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W4293226380","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2090763504","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Drowsiness":[0],"driving":[1,98],"is":[2],"one":[3],"major":[4],"factor":[5],"of":[6,12,66,73,97,140],"traffic":[7],"accident.":[8],"Monitoring":[9],"the":[10,59,70,107,115,138],"changes":[11],"brain":[13,67,108],"signals":[14,40,68],"provides":[15],"an":[16],"effective":[17],"and":[18,41,51,69,86,125,134,154,179],"direct":[19],"way":[20],"for":[21],"drowsiness":[22],"detection.":[23],"One":[24],"3D":[25,80,141],"convolutional":[26],"neural":[27],"network":[28],"(3D":[29],"CNN)-based":[30],"forecasting":[31],"system":[32],"has":[33,89,145],"been":[34,90,146],"proposed":[35,79,111],"to":[36,57,92,152,159],"monitor":[37],"electroencephalography":[38],"(EEG)":[39],"predict":[42,93],"fatigue":[43],"level":[44],"during":[45],"driving.":[46],"The":[47,78],"limited":[48,83],"weight":[49,84],"sharing":[50,85],"channel-wise":[52,87],"convolution":[53,88],"were":[54],"both":[55],"applied":[56],"extract":[58],"significant":[60],"phenomenon":[61],"in":[62,176],"various":[63],"frequency":[64],"bands":[65],"spatial":[71],"information":[72],"EEG":[74],"channel":[75],"location,":[76],"respectively.":[77,161],"CNN":[81,133],"with":[82,99,114,131],"demonstrated":[91],"reaction":[94],"time":[95],"(RT)":[96],"low":[100],"root":[101],"mean":[102],"square":[103],"error":[104],"(RMSE)":[105],"through":[106],"dynamics.":[109],"This":[110],"approach":[112],"outperforms":[113],"state-of-the-art":[116],"algorithms,":[117],"such":[118],"as":[119],"traditional":[120,132],"CNN,":[121],"Neural":[122,136],"Network":[123],"(NN),":[124],"support":[126],"vector":[127],"regression":[128],"(SVR).":[129],"Compared":[130],"Artificial":[135],"Network,":[137],"RMSE":[139],"CNN-based":[142],"RT":[143],"prediction":[144],"improved":[147],"9.5%":[148],"(RMSE":[149,156],"from":[150,157],"0.6322":[151],"0.5720)":[153],"8%":[155],"0.6217":[158],"0.5720),":[160],"We":[162],"envision":[163],"that":[164],"this":[165],"study":[166],"might":[167],"open":[168],"a":[169],"new":[170],"branch":[171],"between":[172],"deep":[173],"learning":[174],"application":[175],"neuro-cognitive":[177],"analysis":[178],"real":[180],"world":[181],"application.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}