{"id":"https://openalex.org/W3215834983","doi":"https://doi.org/10.1145/3482632.3484005","title":"Applying the AdaBoost Face Detection Algorithm to Detect Inattentive States","display_name":"Applying the AdaBoost Face Detection Algorithm to Detect Inattentive States","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3215834983","doi":"https://doi.org/10.1145/3482632.3484005","mag":"3215834983"},"language":"en","primary_location":{"id":"doi:10.1145/3482632.3484005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3484005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","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/A5050192721","display_name":"Shunyu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunyu Huang","raw_affiliation_strings":["Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050192721"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.1753,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56864694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1624","last_page":"1628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9765999913215637,"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":0.9765999913215637,"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/T10057","display_name":"Face and Expression Recognition","score":0.9146000146865845,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.907800018787384,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7976621389389038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296996474266052},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5773320198059082},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5213730931282043},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4835193157196045},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4682043194770813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4530413746833801},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42038673162460327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3740508556365967},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.36807847023010254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33060964941978455}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7976621389389038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296996474266052},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5773320198059082},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5213730931282043},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4835193157196045},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4682043194770813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4530413746833801},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42038673162460327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3740508556365967},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.36807847023010254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33060964941978455},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3482632.3484005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3482632.3484005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Information Systems and Computer Aided Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2346012296","https://openalex.org/W2593953955","https://openalex.org/W2912289529","https://openalex.org/W3132074189","https://openalex.org/W3153539222","https://openalex.org/W4299855111"],"related_works":["https://openalex.org/W2096042813","https://openalex.org/W2047758967","https://openalex.org/W2294130405","https://openalex.org/W2242267494","https://openalex.org/W2116589437","https://openalex.org/W2392583168","https://openalex.org/W2373143428","https://openalex.org/W2063332791","https://openalex.org/W2041461853","https://openalex.org/W1877595604"],"abstract_inverted_index":{"Generally":[0],"speaking,":[1],"driving":[2,27],"fatigue":[3,7,45,54],"is":[4,129],"a":[5,107],"technical":[6],"involving":[8],"both":[9],"mental":[10],"and":[11,46,56,79,110],"physical":[12],"strength.":[13],"When":[14],"drivers":[15],"drive":[16],"vehicles,":[17],"they":[18],"often":[19],"have":[20],"physiological":[21],"or":[22],"psychological":[23],"dysfunction":[24],"that":[25,120],"is,":[26],"fatigue.":[28],"Based":[29],"on":[30],"AdaBoost":[31,77],"face":[32,127],"detection":[33,122],"algorithm,":[34],"this":[35,89],"paper":[36,90],"mainly":[37],"analyzes":[38],"the":[39,52,57,62,74,80,86,95,103,112,115,121,125],"correlation":[40],"between":[41],"driver's":[42,44,47,53,58,63],"inattention,":[43],"sight":[48,59],"direction.":[49],"By":[50],"studying":[51],"state":[55,66],"direction":[60],"respectively,":[61],"current":[64],"inattention":[65],"can":[67],"be":[68],"comprehensively":[69],"judged.":[70],"In":[71],"view":[72],"of":[73,76,82,98,114,124],"degradation":[75,104],"algorithm":[78],"distortion":[81],"sample":[83,99],"weights":[84],"in":[85],"training":[87],"process,":[88],"makes":[91],"appropriate":[92],"adjustments":[93],"to":[94,106],"update":[96],"rules":[97],"weights,":[100],"which":[101],"avoids":[102],"phenomenon":[105],"certain":[108],"extent":[109],"improves":[111],"performance":[113],"classifier.":[116],"Experimental":[117],"results":[118],"show":[119],"effect":[123],"new":[126],"detector":[128],"significantly":[130],"enhanced.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}