{"id":"https://openalex.org/W4308217742","doi":"https://doi.org/10.1109/iciscae55891.2022.9927522","title":"VIT and Bi-LSTM for Micro-Expressions Recognition","display_name":"VIT and Bi-LSTM for Micro-Expressions Recognition","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308217742","doi":"https://doi.org/10.1109/iciscae55891.2022.9927522"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae55891.2022.9927522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927522","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5044662346","display_name":"Huilong Chen","orcid":"https://orcid.org/0000-0002-0535-9691"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huilong Chen","raw_affiliation_strings":["Jiangsu University of Science and Technology,Zhenjiang,China","Jiangsu University of Science and Technology, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology,Zhenjiang,China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087945543","display_name":"Jianjiang Cui","orcid":"https://orcid.org/0000-0002-4532-2789"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjiang Cui","raw_affiliation_strings":["Northeastern University,Shenyang,China","Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387027","display_name":"Yucheng Zhang","orcid":"https://orcid.org/0000-0001-7716-1214"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Zhang","raw_affiliation_strings":["Jiangsu University of Science and Technology,Zhenjiang,China","Jiangsu University of Science and Technology, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology,Zhenjiang,China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101760376","display_name":"Yonglin Zhang","orcid":"https://orcid.org/0000-0001-7288-7286"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonglin Zhang","raw_affiliation_strings":["Jiangsu University of Science and Technology,Zhenjiang,China","Jiangsu University of Science and Technology, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology,Zhenjiang,China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044662346"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65784314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"946","last_page":"951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9941999912261963,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9894000291824341,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7128693461418152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126508951187134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6828334331512451},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5795326232910156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5540517568588257},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5460465550422668},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5418691039085388},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.540307343006134},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47561055421829224},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4413619041442871},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44121140241622925},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4385233521461487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1415032148361206}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7128693461418152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126508951187134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6828334331512451},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5795326232910156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5540517568588257},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5460465550422668},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5418691039085388},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.540307343006134},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47561055421829224},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4413619041442871},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44121140241622925},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4385233521461487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1415032148361206},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae55891.2022.9927522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927522","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2282546360","https://openalex.org/W3034022310","https://openalex.org/W3131251606"],"related_works":["https://openalex.org/W2336974148","https://openalex.org/W2126100045","https://openalex.org/W2773120646","https://openalex.org/W2345184372","https://openalex.org/W2187500075","https://openalex.org/W2381773606","https://openalex.org/W2891219753","https://openalex.org/W2124109643","https://openalex.org/W2905303874","https://openalex.org/W2922225723"],"abstract_inverted_index":{"Recently,":[0],"micro-expression":[1,74,89,105,113,146,160,190],"has":[2],"attracted":[3],"much":[4],"attention":[5],"with":[6,118,167,199],"its":[7,176],"various":[8],"real-world":[9],"applications,":[10],"which":[11,59,187],"is":[12,28,76,124],"spontaneous":[13],"and":[14,24,50,63,67,82,99,120,164,179,184],"usually":[15],"hide":[16],"real":[17],"emotions":[18],"of":[19,40,73,103,134,152],"people.":[20],"Considering":[21],"that":[22,175],"hand-crafted":[23],"deep":[25,64],"learned":[26],"features":[27,102,133,143],"still":[29],"facing":[30],"challenges":[31],"for":[32,208],"recognizing":[33],"micro-expressions":[34],"due":[35],"to":[36,93,126,131,144],"the":[37,70,88,100,104,122,150,159],"subtle":[38],"changes":[39],"micro-expressions,":[41],"a":[42,115,137],"novel":[43],"network":[44],"based":[45],"on":[46,158],"Vision":[47],"Transformer":[48],"(VIT)":[49],"Bidirectional":[51],"Long":[52],"Short":[53],"Term":[54],"Memory":[55],"Neural":[56],"Network":[57],"(Bi-LSTM),":[58],"incorporates":[60],"optical":[61,79],"flow":[62,80],"learning":[65],"algorithm":[66],"could":[68],"capture":[69],"spatial-temporal":[71],"deformations":[72],"sequence,":[75],"proposed.":[77],"First,":[78],"sequence":[81,84,90],"RGB":[83],"are":[85,91,108,182],"extracted":[86],"from":[87],"combined":[92],"feature":[94,106,116,129,211],"map":[95,107],"as":[96],"input":[97],"data,":[98],"spatial":[101,210],"obtained":[109],"by":[110],"encoding":[111],"each":[112],"into":[114],"vector":[117],"VIT,":[119],"then":[121],"Bi-LSTM":[123],"employed":[125],"transfer":[127],"these":[128,141],"vectors":[130],"temporal":[132],"micro-expressions.":[135],"Finally,":[136],"classificatory":[138],"layer":[139],"convert":[140],"distinctive":[142],"different":[145],"categories.":[147],"To":[148],"evaluate":[149],"effectiveness":[151],"this":[153],"method,":[154],"we":[155],"conducts":[156],"experiments":[157],"database":[161],"CASME":[162],"II":[163],"compares":[165],"VIT":[166,204],"several":[168,200],"classical":[169,201],"CNN":[170,202],"networks.":[171],"The":[172],"results":[173],"show":[174],"recognition":[177],"accuracy":[178],"F1":[180],"score":[181],"86.67%":[183],"0.864,":[185],"respectively,":[186],"can":[188],"distinguish":[189],"categories":[191],"more":[192],"accurately":[193],"than":[194],"existing":[195],"methods.":[196],"Moreover,":[197],"compared":[198],"networks,":[203],"shows":[205],"excellent":[206],"performance":[207],"facial":[209],"extraction.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
