{"id":"https://openalex.org/W3013086656","doi":"https://doi.org/10.1109/rcar47638.2019.9044151","title":"An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction","display_name":"An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W3013086656","doi":"https://doi.org/10.1109/rcar47638.2019.9044151","mag":"3013086656"},"language":"en","primary_location":{"id":"doi:10.1109/rcar47638.2019.9044151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5027591792","display_name":"Hui\u2010Kang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huikang Wang","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385751","display_name":"Luzheng Bi","orcid":"https://orcid.org/0000-0001-8986-3379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luzheng Bi","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031415609","display_name":"Weijie Fei","orcid":"https://orcid.org/0000-0003-3188-1384"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Fei","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067621763","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0003-1226-2801"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027591792"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.2432,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56095869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"441"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9914000034332275,"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/support-vector-machine","display_name":"Support vector machine","score":0.8124758005142212},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7938382625579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697532534599304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339832305908203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5056660175323486},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46344995498657227},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.45944276452064514},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4503806233406067},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4379655122756958},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.351323664188385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32590678334236145},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13163307309150696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12035256624221802}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8124758005142212},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7938382625579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697532534599304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339832305908203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5056660175323486},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46344995498657227},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.45944276452064514},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4503806233406067},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4379655122756958},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.351323664188385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32590678334236145},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13163307309150696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12035256624221802},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar47638.2019.9044151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1532891772","https://openalex.org/W1948233396","https://openalex.org/W2024503126","https://openalex.org/W2031350906","https://openalex.org/W2079610602","https://openalex.org/W2084769986","https://openalex.org/W2093250679","https://openalex.org/W2119656429","https://openalex.org/W2154848553","https://openalex.org/W2527502902","https://openalex.org/W2753691346","https://openalex.org/W2892252802","https://openalex.org/W2905626928","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2747895175","https://openalex.org/W2614669534","https://openalex.org/W2104406636","https://openalex.org/W2123014508","https://openalex.org/W2741028958","https://openalex.org/W2105512057","https://openalex.org/W4252625449","https://openalex.org/W3131201603","https://openalex.org/W2115788596","https://openalex.org/W4387784741"],"abstract_inverted_index":{"This":[0,81],"paper":[1],"proposes":[2],"an":[3],"electroencephalography":[4],"(EEG)-based":[5],"classification":[6],"method":[7],"to":[8,53],"distinguish":[9],"emergency":[10,30],"and":[11,31,96],"soft":[12,32],"braking":[13,33,105],"intentions":[14,95],"from":[15],"normal":[16],"driving":[17,58,94,99],"intentions.":[18,34,59],"Time-frequency":[19],"analysis":[20],"of":[21,57,67,77,89,92],"EEG":[22],"signals":[23],"shows":[24,74],"that":[25,62],"there":[26],"exist":[27],"differences":[28],"between":[29],"Power":[35],"spectral":[36],"density":[37],"(PSD)":[38],"values":[39,85],"are":[40,51],"used":[41],"as":[42],"features.":[43],"Three":[44],"Support":[45],"Vector":[46],"Machine":[47],"(SVM)-based":[48],"binary":[49],"classifiers":[50],"developed":[52],"recognize":[54],"three":[55,68],"kinds":[56],"Results":[60],"show":[61],"the":[63,75,78,87,103],"average":[64],"recognition":[65],"accuracy":[66],"classes":[69],"is":[70],"over":[71],"74%,":[72],"which":[73],"feasibility":[76],"proposed":[79,104],"method.":[80,108],"study":[82],"has":[83],"important":[84],"in":[86],"exploration":[88],"neural":[90],"signatures":[91],"different":[93],"developing":[97],"assistant":[98],"systems":[100],"based":[101],"on":[102],"intention":[106],"detection":[107]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}