{"id":"https://openalex.org/W2160886148","doi":"https://doi.org/10.1109/fskd.2011.6019553","title":"A hierarchical fuzzy decision model for driver's unsafe states monitoring","display_name":"A hierarchical fuzzy decision model for driver's unsafe states monitoring","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2160886148","doi":"https://doi.org/10.1109/fskd.2011.6019553","mag":"2160886148"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5100336970","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-6811-5045"},"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":true,"raw_author_name":"Jing Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050254908","display_name":"Zehong Yang","orcid":"https://orcid.org/0000-0001-7562-3710"},"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":"Zehong Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100516373","display_name":"Yixu Song","orcid":null},"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":"Yixu Song","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100336970"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18642746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"569","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9811000227928162,"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"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9702000021934509,"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/beijing","display_name":"Beijing","score":0.8887841701507568},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.76478111743927},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.7464381456375122},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.6748780012130737},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6115083694458008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5827597975730896},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.5024056434631348},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4673384130001068},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.410238653421402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2680841088294983},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26573383808135986},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.18906742334365845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16984418034553528},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.13409531116485596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12107115983963013}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8887841701507568},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.76478111743927},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.7464381456375122},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.6748780012130737},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6115083694458008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827597975730896},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.5024056434631348},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4673384130001068},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.410238653421402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2680841088294983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26573383808135986},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.18906742334365845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16984418034553528},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.13409531116485596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12107115983963013},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1976413570","https://openalex.org/W2015863957","https://openalex.org/W2026701730","https://openalex.org/W2027402490","https://openalex.org/W2052770734","https://openalex.org/W2134738818","https://openalex.org/W2150463764","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W6644360801"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W2367835030"],"abstract_inverted_index":{"In":[0,15],"this":[1,16],"paper,":[2],"we":[3,18],"present":[4],"a":[5],"hierarchical":[6],"fuzzy":[7],"decision":[8],"model":[9,95],"for":[10,31,80],"driver's":[11],"unsafe":[12],"states":[13],"monitoring.":[14],"model,":[17],"want":[19],"to":[20,53,58],"combine":[21],"the":[22,32,37,81,84,91,94],"multi-aspect":[23],"information":[24],"into":[25],"one":[26,76],"output":[27],"parameter,":[28],"which":[29],"stands":[30],"level":[33],"of":[34,36,68,75,83,93],"inattentiveness":[35],"driver.":[38],"Five":[39],"parameters":[40],"are":[41,78,96],"calculated:":[42],"eye-closing":[43],"duration,":[44,46,63],"mouth-opening":[45],"mouth":[47],"state":[48],"change":[49],"frequency":[50],"(from":[51],"opening":[52],"closure":[54,57],"or":[55],"from":[56],"openning),":[59],"face":[60],"detection":[61],"failure":[62],"and":[64,88],"historical":[65],"information.":[66],"Dozens":[67],"videos":[69],"collected":[70],"in":[71],"Beijing":[72],"urban":[73],"streets":[74],"driver":[77],"used":[79],"test":[82],"model.":[85],"Experiment":[86],"results":[87],"conclusions":[89],"on":[90],"performance":[92],"presented.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}