{"id":"https://openalex.org/W7147356177","doi":"https://doi.org/10.1109/cnml68938.2026.11453215","title":"Driver Braking Intention Recognition by Transformer with Local-Aware Attention Mechanism via Dual-Channel Electromyography Signals","display_name":"Driver Braking Intention Recognition by Transformer with Local-Aware Attention Mechanism via Dual-Channel Electromyography Signals","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147356177","doi":"https://doi.org/10.1109/cnml68938.2026.11453215"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11453215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","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/A5132561356","display_name":"Lin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132623987","display_name":"Yu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Tang","raw_affiliation_strings":["China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132681693","display_name":"Chaobin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobin Li","raw_affiliation_strings":["China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China Automotive Engineering Research Institute Co., Ltd,State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132644242","display_name":"Feiyang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Liu","raw_affiliation_strings":["Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032091941","display_name":"Junzhi Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhi Xiong","raw_affiliation_strings":["Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132603491","display_name":"Jun Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xia","raw_affiliation_strings":["Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132554078","display_name":"Kai Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhong","raw_affiliation_strings":["Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Research Institute (Jiangsu),China Automotive Engineering,Suzhou,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089043708","display_name":"Kongming Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kongming Jiang","raw_affiliation_strings":["Inner Mongolia University of Technology,College of Renewable Energy,Ordos"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,College of Renewable Energy,Ordos","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5132561356"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92070956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"550","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.3562000095844269,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.3562000095844269,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.14190000295639038,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.1386999934911728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5789999961853027},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5504000186920166},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5249999761581421},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.49889999628067017},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4767000079154968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4043999910354614},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3831999897956848},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3659000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520000100135803},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5789999961853027},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5504000186920166},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.321399986743927},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2988389982","wikidata":"https://www.wikidata.org/wiki/Q1534839","display_name":"Braking system","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.28679999709129333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2856999933719635},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C2776379899","wikidata":"https://www.wikidata.org/wiki/Q975054","display_name":"Tibialis anterior muscle","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11453215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6164307594299316,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2980709048","https://openalex.org/W3199149203","https://openalex.org/W4286009714","https://openalex.org/W4307911704","https://openalex.org/W4310256158","https://openalex.org/W4388723422","https://openalex.org/W4389001028","https://openalex.org/W4393171264","https://openalex.org/W4399335421","https://openalex.org/W4403601998","https://openalex.org/W4406271206","https://openalex.org/W4413112115"],"related_works":[],"abstract_inverted_index":{"Electromyography-based":[0],"(EMG-based)":[1],"methods":[2,28],"have":[3],"shown":[4],"great":[5],"potential":[6],"in":[7,41],"driver":[8,135,153],"braking":[9,84,136],"intention":[10,137],"(DBI)":[11],"recognition":[12,27,50,138],"for":[13],"enhancing":[14],"active":[15],"safety":[16],"of":[17,101,122,144,152],"the":[18,61,74,116,150],"vehicle.":[19],"However,":[20],"as":[21,105],"wearable":[22],"devices,":[23],"conventional":[24],"EMG-based":[25],"DBI":[26,49],"often":[29],"require":[30],"multiple":[31,130],"electrodes,":[32],"which":[33],"reduces":[34],"wearing":[35],"comfort":[36],"and":[37,65,110,133,158],"hinders":[38],"its":[39],"deployment":[40,151],"intelligent":[42],"cockpits.":[43],"To":[44],"solve":[45],"this":[46],"issue,":[47],"a":[48,80,89,92,99],"framework":[51],"via":[52,69],"dual-channel":[53],"EMG":[54,76],"signals":[55],"was":[56,86,96],"proposed.":[57],"Firstly,":[58],"we":[59],"identified":[60],"tibialis":[62],"anterior":[63],"(F5)":[64],"soleus":[66],"(F8)":[67],"channels":[68],"spatiotemporal":[70],"correlation":[71],"analysis.":[72],"Then,":[73],"integrated":[75],"(iEMG)":[77],"feature":[78],"within":[79],"200":[81,141],"ms":[82,142],"pre":[83],"window":[85],"extracted.":[87],"Next,":[88],"Transformer":[90],"with":[91],"local-aware":[93],"mechanism":[94],"(TLAM)":[95],"trained":[97],"on":[98,162],"dataset":[100],"22,533":[102],"samples":[103],"labeled":[104],"normal":[106],"braking,":[107,109],"emergency":[108],"no":[111],"braking.":[112],"Results":[113],"demonstrate":[114],"that":[115],"proposed":[117],"model":[118],"achieves":[119],"an":[120],"accuracy":[121],"94.85%":[123],"using":[124],"only":[125],"two":[126],"sEMG":[127],"channels,":[128],"outperforming":[129],"baseline":[131],"methods,":[132],"enabling":[134],"up":[139],"to":[140],"ahead":[143],"pedal":[145],"actuation.":[146],"These":[147],"findings":[148],"facilitate":[149],"physiological":[154],"state\u2013based":[155],"monitoring":[156],"systems":[157],"human\u2013vehicle":[159],"interaction":[160],"devices":[161],"in-vehicle":[163],"platforms.":[164]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}