{"id":"https://openalex.org/W2883093892","doi":"https://doi.org/10.3233/jcm-180839","title":"Driving fatigue detection based on feature fusion of information entropy","display_name":"Driving fatigue detection based on feature fusion of information entropy","publication_year":2018,"publication_date":"2018-07-20","ids":{"openalex":"https://openalex.org/W2883093892","doi":"https://doi.org/10.3233/jcm-180839","mag":"2883093892"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-180839","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-180839","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5100622770","display_name":"Changyuan Wang","orcid":"https://orcid.org/0000-0002-1941-2692"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyuan Wang","raw_affiliation_strings":["Xi\u2019an Technological University, Xi\u2019an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Technological University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101098233","display_name":"Yuexin Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexin Tian","raw_affiliation_strings":["Xi\u2019an Technological University, Xi\u2019an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Technological University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030690623","display_name":"Hongbo Jia","orcid":"https://orcid.org/0000-0003-1585-2161"},"institutions":[{"id":"https://openalex.org/I4210148071","display_name":"Air Force Institute of Aviation Medicine Affiliated Hospital","ror":"https://ror.org/056c72797","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210148071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Jia","raw_affiliation_strings":["Institute of Aviation Medicine, Military Medical University, Air Force, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Aviation Medicine, Military Medical University, Air Force, Beijing, China","institution_ids":["https://openalex.org/I4210148071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100622770"],"corresponding_institution_ids":["https://openalex.org/I4210110558"],"apc_list":null,"apc_paid":null,"fwci":1.0956,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79962289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"4","first_page":"977","last_page":"988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9824000000953674,"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":0.9824000000953674,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7449842095375061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7087544202804565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729885339736938},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6565842628479004},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6071560382843018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5865057110786438},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4814685881137848},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4792868494987488}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7449842095375061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7087544202804565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729885339736938},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6565842628479004},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6071560382843018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5865057110786438},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4814685881137848},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4792868494987488},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-180839","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-180839","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1837719971","https://openalex.org/W1945834631","https://openalex.org/W1966065860","https://openalex.org/W1991919071","https://openalex.org/W1996277006","https://openalex.org/W2010643019","https://openalex.org/W2020964464","https://openalex.org/W2056928690","https://openalex.org/W2119821739","https://openalex.org/W2167955020","https://openalex.org/W2367441715","https://openalex.org/W2621269897","https://openalex.org/W2784400627","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1707372784","https://openalex.org/W3046039077"],"abstract_inverted_index":{"Fatigue":[0],"will":[1],"affect":[2],"the":[3,31,48,68,82,85,90,104,111],"normal":[4],"work":[5],"and":[6,57,70,74],"even":[7],"cause":[8],"accidents.":[9],"In":[10],"order":[11],"to":[12,43,66,80,119],"reduce":[13],"fatigue\u2019s":[14],"impact":[15],"on":[16,89,125],"people,":[17],"we":[18,37,60,94,115],"proposes":[19],"a":[20,24,96,101],"method":[21,29,118,136],"for":[22],"providing":[23],"real-time":[25],"fatigued":[26,122],"detection.Specifically,":[27],"this":[28,135],"comprise":[30],"following":[32],"steps.":[33],"Firstly":[34],"of":[35,50,55,84,92,103,134],"all,":[36],"use":[38,61],"Active":[39],"Shape":[40],"Model":[41],"(ASM)":[42],"detect":[44],"face,":[45,93],"extr":[46],"act":[47],"Histogram":[49],"Orientation":[51],"Gradient":[52],"(HOG)":[53],"features":[54],"eyes":[56],"mouth.":[58],"Secondly,":[59],"Support":[62],"Vector":[63],"Machine":[64],"(SVM)":[65],"classify":[67],"states":[69,91],"Pose":[71],"from":[72],"Orthography":[73],"Scaling":[75],"with":[76],"Iterations":[77],"(POSIT)":[78],"algorithm":[79],"estimate":[81],"poses":[83],"head.":[86],"Thirdly,":[87],"based":[88,124],"obtain":[95],"fatigue":[97,105,127],"decision":[98,106,128],"index,":[99],"wherein":[100],"weight":[102],"index":[107],"is":[108,137],"calculated":[109,126],"by":[110],"Entropy-weighting":[112],"method.":[113],"Finally,":[114],"apply":[116],"Bayesian":[117],"evaluate":[120],"driver\u2019s":[121],"level":[123],"index.":[129],"The":[130],"final":[131],"mean":[132],"accuracy":[133],"83.3%.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-22T06:01:30.510260","created_date":"2025-10-10T00:00:00"}