{"id":"https://openalex.org/W4381733137","doi":"https://doi.org/10.1109/tits.2023.3285923","title":"JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos","display_name":"JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos","publication_year":2023,"publication_date":"2023-06-24","ids":{"openalex":"https://openalex.org/W4381733137","doi":"https://doi.org/10.1109/tits.2023.3285923"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3285923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3285923","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5081308360","display_name":"Yansha Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansha Lu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5990-2533","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065058741","display_name":"Chunsheng Liu","orcid":"https://orcid.org/0000-0001-5516-2486"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5516-2486","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070332088","display_name":"Faliang Chang","orcid":"https://orcid.org/0000-0003-1276-2267"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faliang Chang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1276-2267","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078120522","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-2248-7767"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2248-7767","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022175950","display_name":"Hengqiang Huan","orcid":"https://orcid.org/0009-0007-6712-7451"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengqiang Huan","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0007-6712-7451","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":4.3333,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9576142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"11","first_page":"11850","last_page":"11863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9861999750137329,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9768999814987183,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7644654512405396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7493536472320557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6823164224624634},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5813283920288086},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.49893641471862793},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4762047529220581},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.448533833026886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3577544093132019},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2574802041053772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644654512405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7493536472320557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6823164224624634},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5813283920288086},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.49893641471862793},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4762047529220581},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.448533833026886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3577544093132019},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2574802041053772}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3285923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3285923","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2984507218","display_name":null,"funder_award_id":"2020CXGC010207","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G5535474515","display_name":null,"funder_award_id":"62176138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6967522541","display_name":null,"funder_award_id":"2019JZZY010130","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G8239702273","display_name":null,"funder_award_id":"62176136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8636925473","display_name":null,"funder_award_id":"U22A2058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1235142441","https://openalex.org/W1522734439","https://openalex.org/W1566256432","https://openalex.org/W1613465282","https://openalex.org/W1901129140","https://openalex.org/W1935685005","https://openalex.org/W2020599684","https://openalex.org/W2031527075","https://openalex.org/W2032408534","https://openalex.org/W2081773958","https://openalex.org/W2098428871","https://openalex.org/W2101956459","https://openalex.org/W2119241320","https://openalex.org/W2217448953","https://openalex.org/W2272340902","https://openalex.org/W2295567513","https://openalex.org/W2341528187","https://openalex.org/W2517910850","https://openalex.org/W2538676145","https://openalex.org/W2560474170","https://openalex.org/W2600072806","https://openalex.org/W2604676963","https://openalex.org/W2604985514","https://openalex.org/W2738749209","https://openalex.org/W2745090846","https://openalex.org/W2767520447","https://openalex.org/W2785509179","https://openalex.org/W2894818097","https://openalex.org/W2902412551","https://openalex.org/W2908578648","https://openalex.org/W2931011950","https://openalex.org/W2963886665","https://openalex.org/W3010732737","https://openalex.org/W3010777170","https://openalex.org/W3015309989","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035225512","https://openalex.org/W3038008805","https://openalex.org/W3044796328","https://openalex.org/W3083701231","https://openalex.org/W3095866053","https://openalex.org/W3101998545","https://openalex.org/W3138193648","https://openalex.org/W3176443629","https://openalex.org/W3197780705","https://openalex.org/W3202884269","https://openalex.org/W3203151276","https://openalex.org/W3208673579","https://openalex.org/W3211545390","https://openalex.org/W4225467065","https://openalex.org/W6674716596"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2894986065","https://openalex.org/W4299867837","https://openalex.org/W3110557940"],"abstract_inverted_index":{"Yawning":[0],"detection":[1,66,181],"is":[2,107,142,164],"a":[3,53,77,83,92,116],"key":[4],"means":[5],"in":[6,43,70,209],"driver":[7,64],"fatigue":[8],"detection,":[9],"which":[10,149],"suffers":[11],"difficulties":[12],"including":[13,76],"head":[14,168],"poses,":[15],"facial":[16,38,156,172],"expressions,":[17],"illumination":[18],"variations,":[19],"occlusions,":[20],"etc.":[21],"Yet,":[22],"most":[23],"previous":[24],"methods":[25,199],"mainly":[26],"focus":[27],"on":[28,200],"frontal":[29,147],"faces,":[30,148],"and":[31,58,91,113,128,171,182,205],"are":[32],"deficient":[33],"to":[34,109,114,144,166],"deal":[35],"with":[36,72,86,120,125,137,196],"different":[37],"actions":[39,157],"under":[40,158],"arbitrary":[41,68,159],"poses":[42,69],"the":[44,105,121,130,140,155,162,176,189,201],"actual":[45],"driving":[46],"environment.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"propose":[52],"novel":[54],"Joint":[55],"Head":[56,96],"Pose":[57,97],"Facial":[59,99],"Action":[60,100],"Network":[61],"(JHPFA-Net)":[62],"for":[63,95,153,175],"yawning":[65],"across":[67],"videos,":[71],"three":[73],"main":[74],"parts":[75],"Geometric-based":[78],"Key-frame":[79],"Selection":[80],"Module":[81,89,102],"(GK-Module),":[82],"Face":[84],"Frontalization":[85],"Warp":[87],"Attention":[88],"(FF-Module)":[90],"dual-channel":[93],"classifier":[94],"&":[98],"Fusion":[101],"(HF-Module).":[103],"Firstly,":[104],"GK-Module":[106],"proposed":[108,143,165,190],"extract":[110],"geometric":[111],"vectors":[112],"construct":[115],"two-stage":[117],"judgment":[118],"mechanism,":[119],"purpose":[122,177],"of":[123,132,178],"dealing":[124],"frame":[126],"redundancy":[127],"improving":[129,183],"efficiency":[131],"JHPFA-Net":[133,191],"structure.":[134],"Secondly,":[135],"distinguished":[136],"existing":[138],"methods,":[139],"FF-Module":[141],"synthesize":[145],"photo-realistic":[146],"can":[150],"be":[151],"used":[152],"capturing":[154],"poses.":[160],"Finally,":[161],"HF-Module":[163],"fuse":[167],"pose":[169],"attributes":[170],"modalities":[173],"together,":[174],"achieving":[179],"pose-invariant":[180],"accuracy.":[184],"Extensive":[185],"experiments":[186],"show":[187],"that":[188],"achieves":[192],"state-of-the-art":[193],"results":[194],"comparing":[195],"some":[197],"representative":[198],"public":[202],"YawDD":[203],"benchmark,":[204],"it":[206],"performs":[207],"well":[208],"real-time":[210],"application.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}