{"id":"https://openalex.org/W4402304237","doi":"https://doi.org/10.1109/ifuzzy63051.2024.10661369","title":"Design of the Adaptive Belief Rule Based Inference System for Driver Drowsiness Detection","display_name":"Design of the Adaptive Belief Rule Based Inference System for Driver Drowsiness Detection","publication_year":2024,"publication_date":"2024-08-10","ids":{"openalex":"https://openalex.org/W4402304237","doi":"https://doi.org/10.1109/ifuzzy63051.2024.10661369"},"language":"en","primary_location":{"id":"doi:10.1109/ifuzzy63051.2024.10661369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy63051.2024.10661369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","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/A5107334744","display_name":"Chi\u2013Lun Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi\u2013Lun Feng","raw_affiliation_strings":["National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101628128","display_name":"Yu\u2013Ting Su","orcid":"https://orcid.org/0000-0001-6605-7534"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu\u2013Ting Su","raw_affiliation_strings":["National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051865874","display_name":"Tzuu\u2010Hseng S. Li","orcid":"https://orcid.org/0000-0001-6194-330X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzuu\u2013Hseng S. Li","raw_affiliation_strings":["National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,aiRobots Lab,Dept. of Electrical Eng.,Tainan,Taiwan,R.O.C","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107334744"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":1.0559,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79031134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9986000061035156,"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":0.9986000061035156,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/inference","display_name":"Inference","score":0.6349654197692871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6179308295249939},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.4349743127822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.425245076417923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3349171578884125}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6349654197692871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179308295249939},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.4349743127822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425245076417923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3349171578884125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifuzzy63051.2024.10661369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy63051.2024.10661369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1876588453","https://openalex.org/W2005123750","https://openalex.org/W2052770734","https://openalex.org/W2073785547","https://openalex.org/W2089156695","https://openalex.org/W2140364226","https://openalex.org/W2143804876","https://openalex.org/W2605351369","https://openalex.org/W2985845430","https://openalex.org/W4221070103","https://openalex.org/W4240278694","https://openalex.org/W4385210839"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"research":[1],"focuses":[2],"on":[3],"detecting":[4],"driver":[5,31,173],"fatigue":[6,32,159],"in":[7,108],"real-time.":[8],"Driver":[9],"drowsiness":[10,49],"is":[11,35,102,122,138,150],"a":[12,23,46,97,112,125],"serious":[13],"issue":[14],"that":[15],"often":[16],"leads":[17],"to":[18,44,105,118,124,140],"traffic":[19],"accidents,":[20],"making":[21],"it":[22],"particularly":[24],"hazardous":[25],"concern.":[26],"Therefore,":[27,96],"preventing":[28],"and":[29,33,54,75,86,94,160],"reducing":[30],"distraction":[34],"an":[36,119],"important":[37],"area":[38],"of":[39,62,72,80,83,158,165,171],"research.":[40],"The":[41],"study":[42],"aims":[43],"engineer":[45],"real-time,":[47],"non-intrusive":[48],"detection":[50],"system":[51,65,149],"image":[52],"processing":[53],"fuzzy":[55],"logic":[56],"techniques.":[57],"To":[58],"determine":[59],"the":[60,64,70,73,78,81,84,133,155,163,168],"level":[61],"fatigue,":[63],"analyzes":[66],"facial":[67],"features,":[68],"including":[69],"state":[71],"eyes":[74,85],"mouth.":[76],"However,":[77],"calculation":[79],"states":[82],"mouth":[87],"involves":[88],"various":[89,172],"uncertainties,":[90],"such":[91],"as":[92],"vagueness":[93],"imprecision.":[95],"Belief":[98,146],"Rule-Based":[99,147],"Approach":[100],"(BRBA)":[101],"implemented":[103],"due":[104],"its":[106],"proficiency":[107],"managing":[109],"uncertainties.":[110],"In":[111],"predefined":[113],"rule":[114,131],"base,":[115,132],"each":[116],"input":[117],"antecedent":[120],"attribute":[121],"mapped":[123],"belief":[126],"distribution.":[127],"Subsequently,":[128],"within":[129],"this":[130],"Equilibrium":[134],"Optimizer":[135],"(EO)":[136],"method":[137],"employed":[139],"execute":[141],"inference":[142],"processes.":[143],"A":[144],"novel":[145],"(BRB)":[148],"developed":[151],"by":[152],"meticulously":[153],"analyzing":[154],"associated":[156],"risks":[157],"drowsiness,":[161],"with":[162],"objective":[164],"accurately":[166],"determining":[167],"risk":[169],"levels":[170],"states.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}