{"id":"https://openalex.org/W7155566340","doi":"https://doi.org/10.1109/thms.2026.3681915","title":"Improving Driver Emotion Recognition Using Structure-Detail-Aware Blind Super-Resolution","display_name":"Improving Driver Emotion Recognition Using Structure-Detail-Aware Blind Super-Resolution","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155566340","doi":"https://doi.org/10.1109/thms.2026.3681915"},"language":null,"primary_location":{"id":"doi:10.1109/thms.2026.3681915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2026.3681915","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine 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/A5042420817","display_name":"Wei\u2010Yen Hsu","orcid":"https://orcid.org/0000-0002-4599-0744"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Yen Hsu","raw_affiliation_strings":["College of Artificial Intelligence, National Yang Ming Chiao Tung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-4599-0744","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, National Yang Ming Chiao Tung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134550481","display_name":"Yi-Chun Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chun Chiu","raw_affiliation_strings":["Department of Information Management, National Chung Cheng University, Chiayi, Taiwan"],"raw_orcid":"https://orcid.org/0009-0004-4734-8810","affiliations":[{"raw_affiliation_string":"Department of Information Management, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129162291","display_name":"Hsin-Yun Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Yun Chang","raw_affiliation_strings":["Department of Information Management, National Chung Cheng University, Chiayi, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64010519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"3","first_page":"672","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5386000275611877,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.5386000275611877,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.04259999841451645,"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":0.023499999195337296,"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/emotion-recognition","display_name":"Emotion recognition","score":0.4408000111579895},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.29339998960494995},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2703999876976013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25690001249313354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952999949455261},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4408000111579895},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4083000123500824},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.26420000195503235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2026.3681915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2026.3681915","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"intelligent":[1],"driving":[2,25],"environments,":[3],"accurate":[4,176],"driver":[5,73,240],"emotion":[6,50,241],"recognition":[7,51,242],"is":[8],"critical":[9],"for":[10,72],"enhancing":[11],"human-machine":[12,76],"interaction":[13,172],"and":[14,39,63,91,97,101,116,128,146,148,162,173,212,217],"ensuring":[15],"road":[16],"safety.":[17],"However,":[18],"due":[19],"to":[20,94,111,143,188],"the":[21,47,80,89,122,135,149,190,193,200,204,229,234],"constraints":[22],"of":[23,49,178,192,209,225],"real-world":[24,186],"conditions,":[26],"images":[27],"captured":[28],"by":[29,244],"in-vehicle":[30],"cameras":[31],"frequently":[32],"suffer":[33],"from":[34],"blurring,":[35],"noise,":[36],"low":[37],"illumination,":[38],"reduced":[40],"resolution.":[41],"These":[42],"visual":[43,226],"degradations":[44],"significantly":[45,238],"impair":[46],"performance":[48],"systems.":[52,77],"To":[53],"address":[54],"these":[55],"challenges,":[56],"we":[57,105],"propose":[58],"a":[59],"novel":[60,81],"structure":[61,99,145,215],"preservation":[62,100,216],"detail":[64,102,218],"recovery":[65,219],"blind":[66],"super-resolution":[67],"(SpDrBSR)":[68],"framework":[69],"specifically":[70],"designed":[71],"monitoring":[74],"in":[75,207,223],"We":[78,182],"design":[79],"cross-domain":[82,92,129,136,152],"structure-detail-aware":[83],"transformer":[84],"(CSDFormer),":[85],"which":[86,139,155],"effectively":[87],"integrates":[88,140],"intradomain":[90,127],"information":[93],"achieve":[95],"global":[96,150,157],"local":[98],"recovery.":[103],"Specifically,":[104],"first":[106],"apply":[107],"Canny":[108],"edge":[109,114],"detection":[110],"ensure":[112],"precise":[113],"localization":[115],"structural":[117],"preservation.":[118],"Building":[119],"on":[120,185],"this,":[121],"proposed":[123,194,201,235],"CSDFormer":[124],"leverages":[125],"long-range":[126],"dependencies":[130],"through":[131],"two":[132],"key":[133],"modules:":[134],"fusion":[137],"module,":[138,154],"domain":[141],"features":[142],"maintain":[144],"detail,":[147],"mixed":[151],"attention":[153],"retrieves":[156],"information,":[158],"refines":[159],"similarity":[160],"scores,":[161],"filters":[163],"irrelevant":[164],"signals.":[165],"A":[166],"cross-attention":[167],"mechanism":[168],"further":[169],"enhances":[170],"feature":[171],"complementarity,":[174],"enabling":[175],"reconstruction":[177],"complex":[179],"image":[180],"structures.":[181],"conduct":[183],"experiments":[184],"datasets":[187],"verify":[189],"effectiveness":[191],"method.":[195],"The":[196],"results":[197,230],"indicate":[198,232],"that":[199,233],"SpDrBSR":[202,236],"outperforms":[203],"state-of-the-art":[205],"approaches":[206,222],"terms":[208,224],"quantitative":[210],"metrics":[211],"achieves":[213],"better":[214],"than":[220],"those":[221],"quality.":[227],"Furthermore,":[228],"also":[231],"can":[237],"enhance":[239],"accuracy":[243],"nearly":[245],"8%.":[246]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-25T00:00:00"}