{"id":"https://openalex.org/W4402352860","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650352","title":"Masked EEG Modeling for Driving Intention Prediction","display_name":"Masked EEG Modeling for Driving Intention Prediction","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352860","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650352"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001167901","display_name":"Jinzhao Zhou","orcid":"https://orcid.org/0000-0002-6620-604X"},"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":"Jinzhao Zhou","raw_affiliation_strings":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078667656","display_name":"Justin Sia","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":false,"raw_author_name":"Justin Sia","raw_affiliation_strings":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059407219","display_name":"Yiqun Duan","orcid":"https://orcid.org/0000-0003-1517-994X"},"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":"Yiqun Duan","raw_affiliation_strings":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076932590","display_name":"Yu\u2010Cheng Chang","orcid":"https://orcid.org/0000-0001-9244-0318"},"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-Cheng Chang","raw_affiliation_strings":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,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":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,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":["University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and Information Technology,Ultimo,Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.996999979019165,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/electroencephalography","display_name":"Electroencephalography","score":0.7287460565567017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200344562530518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3330882787704468},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2306661605834961}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7287460565567017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200344562530518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3330882787704468},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2306661605834961},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W336932610","https://openalex.org/W1947251450","https://openalex.org/W2106822551","https://openalex.org/W2118492722","https://openalex.org/W2341256599","https://openalex.org/W2559463885","https://openalex.org/W2743161869","https://openalex.org/W2776654602","https://openalex.org/W2782522902","https://openalex.org/W2786771128","https://openalex.org/W2799501394","https://openalex.org/W2809409175","https://openalex.org/W2890363742","https://openalex.org/W2906324501","https://openalex.org/W3036399572","https://openalex.org/W3102455230","https://openalex.org/W3110770815","https://openalex.org/W3112695512","https://openalex.org/W3155986091","https://openalex.org/W3158433777","https://openalex.org/W3165735694","https://openalex.org/W3165814049","https://openalex.org/W3192069909","https://openalex.org/W3194020089","https://openalex.org/W3207271364","https://openalex.org/W3207904486","https://openalex.org/W4206673362","https://openalex.org/W4220946819","https://openalex.org/W4280591210","https://openalex.org/W4285483774","https://openalex.org/W4303628852","https://openalex.org/W4308151510","https://openalex.org/W4312705096","https://openalex.org/W4313156423","https://openalex.org/W4366463345","https://openalex.org/W4375946536","https://openalex.org/W4383815027","https://openalex.org/W4385245566","https://openalex.org/W4390489160"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2390279801","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Driving":[0],"under":[1],"drowsy":[2,25,228,241],"conditions":[3],"significantly":[4,249],"escalates":[5],"the":[6,78,87,109,121,127,153,176,201,251,269],"risk":[7],"of":[8,51,80,108,123,221,268],"vehicular":[9],"accidents.":[10],"Recent":[11],"endeavors":[12],"to":[13,23,38,59,240],"prevent":[14],"driving":[15,44,92,100,124,150,173,198,209,225,280],"accidents":[16,238],"have":[17],"focused":[18],"on":[19,67,194],"using":[20,112],"electroencephalography":[21],"(EEG)":[22],"identify":[24],"mental":[26],"states.":[27,214],"However,":[28],"a":[29,53,73,96,117,140,145,163,195],"more":[30,265],"versatile":[31],"EEG-based":[32],"assistant":[33],"system":[34,47],"is":[35,205],"better":[36],"equipped":[37],"achieve":[39],"smooth":[40],"human-machine":[41],"interaction":[42],"in":[43,77,130,152,207,253,278],"scenarios.":[45,281],"This":[46],"should":[48],"be":[49],"capable":[50],"understanding":[52],"driver\u2019s":[54],"intention":[55,101,122,177],"while":[56],"demonstrating":[57],"resilience":[58],"artifacts":[60],"induced":[61],"by":[62],"unexpected":[63],"sudden":[64],"movements.":[65],"Building":[66],"this":[68,70],"goal,":[69],"paper":[71],"pioneers":[72],"novel":[74,97,164],"research":[75],"direction":[76],"field":[79],"brain-computer":[81],"interface":[82],"for":[83,99,170,178,227,235],"assisted":[84],"driving,":[85],"studying":[86],"neural":[88,128],"patterns":[89],"associated":[90],"with":[91],"intentions":[93,151,210,226],"and":[94,126,132,183,191],"presenting":[95],"method":[98,204,248,259],"prediction.":[102],"In":[103],"particular,":[104],"our":[105,216,247,258],"preliminary":[106],"analysis":[107,115,138],"EEG":[110,166],"signal":[111],"independent":[113],"component":[114],"suggests":[116],"close":[118],"relation":[119],"between":[120],"maneuvers":[125],"activities":[129],"central-frontal":[131],"parietal":[133],"areas.":[134],"Power":[135],"spectral":[136],"density":[137],"at":[139],"group":[141],"level":[142],"also":[143,244],"reveals":[144],"notable":[146],"distinction":[147],"among":[148],"various":[149,212],"frequency":[154],"domain.":[155],"To":[156],"exploit":[157],"these":[158],"brain":[159],"dynamics,":[160],"we":[161],"propose":[162],"Masked":[165],"Modeling":[167],"(MEM)":[168],"framework":[169],"predicting":[171,208,224],"human":[172],"intentions,":[174],"including":[175],"left":[179],"turning,":[180,182],"right":[181],"straight":[184],"proceeding.":[185],"Extensive":[186],"experiments,":[187],"encompassing":[188],"comprehensive":[189],"quantitative":[190],"qualitative":[192],"assessments":[193],"publicly":[196],"available":[197],"dataset,":[199],"demonstrate":[200],"proposed":[202],"MEM":[203],"proficient":[206],"across":[211],"vigilance":[213],"Specifically,":[215],"model":[217],"attains":[218],"an":[219],"accuracy":[220,263],"85.19%":[222],"when":[223,264],"subjects,":[229],"which":[230],"shows":[231],"its":[232,276],"promising":[233],"potential":[234],"mitigating":[236],"traffic":[237],"related":[239],"driving.":[242],"Ablation":[243],"demonstrates":[245],"that":[246],"enhances":[250],"flexibility":[252],"handling":[254],"missing":[255,272],"channels.":[256],"Notably,":[257],"maintains":[260],"over":[261],"75%":[262],"than":[266],"half":[267],"channels":[270],"are":[271],"or":[273],"corrupted,":[274],"underscoring":[275],"adaptability":[277],"real-life":[279]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
