{"id":"https://openalex.org/W4412100074","doi":"https://doi.org/10.1145/3725949.3725968","title":"A Novel Facial Expression Recognition Algorithm Based on LBP and Improved ResNet","display_name":"A Novel Facial Expression Recognition Algorithm Based on LBP and Improved ResNet","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4412100074","doi":"https://doi.org/10.1145/3725949.3725968"},"language":"en","primary_location":{"id":"doi:10.1145/3725949.3725968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725949.3725968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Sensors, Signal and Image Processing","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/A5109303369","display_name":"Fang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Dong","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0000-4989-5958","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhui Zhong","orcid":"https://orcid.org/0009-0005-1165-5648"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Zhong","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0005-1165-5648","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694753","display_name":"Wenfeng Wang","orcid":"https://orcid.org/0009-0000-3433-2925"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Wang","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0000-3433-2925","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101087412","display_name":"Jia Han","orcid":null},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Han","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0001-6803-0084","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tao Chen","orcid":"https://orcid.org/0009-0009-2456-9385"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0009-2456-9385","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56600166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9865999817848206,"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/T10057","display_name":"Face and Expression Recognition","score":0.9865999817848206,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639819324016571},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.6318201422691345},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5927287340164185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5411836504936218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5252411365509033},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5080482959747314},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.46175575256347656},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3376009464263916},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.16073814034461975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639819324016571},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.6318201422691345},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5927287340164185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5411836504936218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5252411365509033},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5080482959747314},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.46175575256347656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3376009464263916},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.16073814034461975},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725949.3725968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725949.3725968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Sensors, Signal and Image Processing","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":12,"referenced_works":["https://openalex.org/W2073534683","https://openalex.org/W2159725018","https://openalex.org/W2194775991","https://openalex.org/W2316174917","https://openalex.org/W2734496894","https://openalex.org/W2752782242","https://openalex.org/W4246949166","https://openalex.org/W4307156482","https://openalex.org/W4312441655","https://openalex.org/W4391138147","https://openalex.org/W4403270322","https://openalex.org/W4403272612"],"related_works":["https://openalex.org/W2599472179","https://openalex.org/W4323057981","https://openalex.org/W3178607569","https://openalex.org/W4308408209","https://openalex.org/W4387708121","https://openalex.org/W4312714657","https://openalex.org/W4365802474","https://openalex.org/W4400238029","https://openalex.org/W4409496323","https://openalex.org/W4360996121"],"abstract_inverted_index":{"LBP":[0,41,71,118],"is":[1,15,28,76,88,113,124,170],"an":[2,12,136],"excellent":[3],"method":[4,42,74],"that":[5,65,184],"effectively":[6],"describes":[7],"the":[8,32,39,55,82,92,97,103,109,117,149,160,167,185],"local":[9],"texture":[10],"of":[11,34,46,162],"image.":[13],"It":[14],"not":[16],"only":[17],"computationally":[18],"simple,":[19],"but":[20],"also":[21],"has":[22],"a":[23,59,189],"good":[24],"effect,":[25],"and":[26,50,70,121,143,147,178,197],"thus":[27],"widely":[29],"applied":[30],"in":[31,78,192],"field":[33],"facial":[35,61,94,98,110,164,193],"expression":[36,62,194],"recognition.":[37],"However,":[38],"original":[40,150],"suffers":[43],"from":[44,105],"weaknesses":[45],"poor":[47],"feature":[48,72,119,130],"description":[49],"generalization":[51,198],"ability.":[52,199],"To":[53],"overcome":[54],"above":[56],"mentioned":[57],"shortcomings,":[58],"novel":[60],"recognition":[63,195],"algorithm":[64,87,169,187],"combines":[66],"improved":[67,137],"ResNet":[68,138],"model":[69],"extraction":[73],"(LBP-ResNet)":[75],"proposed":[77,186],"this":[79],"paper.":[80],"First,":[81],"gradient":[83],"boosting":[84],"decision":[85],"tree":[86],"adopted":[89],"to":[90,101,115,158],"locate":[91],"key":[93,163],"points,":[95],"cropping":[96],"region":[99],"images":[100],"reduce":[102],"interference":[104],"non-expression":[106],"areas.":[107],"Secondly,":[108],"image":[111],"size":[112],"normalized":[114],"extract":[116],"maps,":[120],"data":[122],"augmentation":[123],"performed":[125],"through":[126],"affine":[127],"transformation.":[128],"These":[129],"maps":[131],"are":[132],"then":[133],"input":[134],"into":[135],"network,":[139],"which":[140],"introduces":[141],"squeeze":[142],"excitation":[144],"attention":[145],"modules":[146],"replaces":[148],"ReLu":[151],"static":[152],"function":[153,157],"with":[154,172],"DyReLu":[155],"dynamic":[156],"enhance":[159],"features":[161],"points.":[165],"Finally,":[166],"LBP-ResNet":[168],"compared":[171],"several":[173],"representative":[174],"algorithms":[175],"on":[176],"CK+":[177],"JAFFE":[179],"datasets.":[180],"Experimental":[181],"results":[182],"demonstrate":[183],"shows":[188],"better":[190],"performance":[191],"accuracy":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
