{"id":"https://openalex.org/W4409647580","doi":"https://doi.org/10.1155/int/6388642","title":"Facial Expression Recognition Method Based on Octonion Orthogonal Feature Extraction and Octonion Vision Transformer","display_name":"Facial Expression Recognition Method Based on Octonion Orthogonal Feature Extraction and Octonion Vision Transformer","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409647580","doi":"https://doi.org/10.1155/int/6388642"},"language":"en","primary_location":{"id":"doi:10.1155/int/6388642","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/6388642","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/6388642","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/6388642","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100716460","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-9097-4639"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-9097-4639","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hang Cai","orcid":"https://orcid.org/0009-0001-8188-1887"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Cai","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn"],"raw_orcid":"https://orcid.org/0009-0001-8188-1887","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101556719","display_name":"Huang Yao","orcid":"https://orcid.org/0000-0001-5055-4106"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Yao","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-5055-4106","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111268744","display_name":"Di Chen","orcid":"https://orcid.org/0009-0000-3863-7566"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Chen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn"],"raw_orcid":"https://orcid.org/0009-0000-3863-7566","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education ,  Central China Normal University ,  Wuhan ,  China , ccnu.edu.cn","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111268744"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":3.7834,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92292882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.996999979019165,"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":0.996999979019165,"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":0.9959999918937683,"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/T11448","display_name":"Face recognition and analysis","score":0.9825999736785889,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6212263107299805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6149704456329346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102545261383057},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5008330345153809},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.499011754989624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4780735969543457},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4537593722343445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09537377953529358},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07360255718231201}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6212263107299805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6149704456329346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102545261383057},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5008330345153809},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.499011754989624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4780735969543457},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4537593722343445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09537377953529358},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07360255718231201},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/6388642","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/6388642","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/6388642","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/6388642","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/6388642","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/6388642","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6623082293","display_name":null,"funder_award_id":"BCA230278","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409647580.pdf","grobid_xml":"https://content.openalex.org/works/W4409647580.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W171902450","https://openalex.org/W2068292846","https://openalex.org/W2081112272","https://openalex.org/W2103943262","https://openalex.org/W2106115875","https://openalex.org/W2246249023","https://openalex.org/W2253788994","https://openalex.org/W2481681431","https://openalex.org/W2738672149","https://openalex.org/W2745219603","https://openalex.org/W2745497104","https://openalex.org/W2950965506","https://openalex.org/W2963230471","https://openalex.org/W2970929894","https://openalex.org/W3003720578","https://openalex.org/W3035336958","https://openalex.org/W3043496927","https://openalex.org/W3094502228","https://openalex.org/W3109530872","https://openalex.org/W3112113890","https://openalex.org/W3118530108","https://openalex.org/W3122081138","https://openalex.org/W3163598089","https://openalex.org/W3173787706","https://openalex.org/W3175546442","https://openalex.org/W3179103990","https://openalex.org/W3184571633","https://openalex.org/W3195286673","https://openalex.org/W3209798173","https://openalex.org/W3215587491","https://openalex.org/W4224931669","https://openalex.org/W4230595451","https://openalex.org/W4285128513","https://openalex.org/W4309632780","https://openalex.org/W4311414773","https://openalex.org/W4312465353","https://openalex.org/W4312823769","https://openalex.org/W4318751473","https://openalex.org/W4319300140","https://openalex.org/W4366829024","https://openalex.org/W4372265768","https://openalex.org/W4376278471","https://openalex.org/W4379649505","https://openalex.org/W4385245566","https://openalex.org/W4386161521","https://openalex.org/W4390190649","https://openalex.org/W4402170672","https://openalex.org/W6691862751","https://openalex.org/W6929166269"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"In":[0,17],"the":[1,34,80,97,101,110,124,134,149,161],"field":[2],"of":[3,33,41,126,130,136,163],"artificial":[4],"intelligence,":[5],"facial":[6,144],"expression":[7,145],"recognition":[8],"(FER)":[9],"in":[10,160],"natural":[11],"scenes":[12],"is":[13,93,120],"a":[14,39,54,157],"challenging":[15],"topic.":[16],"recent":[18],"years,":[19],"vision":[20],"transformer":[21],"(ViT)":[22],"models":[23,155],"have":[24],"been":[25],"applied":[26],"to":[27,67,78,95,113,128],"FER":[28,55],"tasks.":[29],"The":[30],"direct":[31],"use":[32],"original":[35],"ViT":[36,119,131],"structure":[37],"consumes":[38],"lot":[40],"computational":[42],"resources":[43],"and":[44,63,108],"longer":[45],"training":[46],"time.":[47],"To":[48],"overcome":[49],"these":[50],"problems,":[51],"we":[52,71],"propose":[53,72],"method":[56,77,92,151],"based":[57],"on":[58,140],"octonion":[59,64,89,118],"orthogonal":[60,74,85,90,98,106],"feature":[61,69,75],"extraction":[62],"ViT.":[65],"First,":[66],"reduce":[68],"redundancy,":[70],"an":[73,88,117],"decomposition":[76],"map":[79],"extracted":[81],"features":[82],"onto":[83],"seven":[84],"sub\u2010features.":[86],"Then,":[87],"representation":[91],"introduced":[94],"correlate":[96],"features,":[99,107],"maintain":[100],"intrinsic":[102],"dependencies":[103],"between":[104],"different":[105],"enhance":[109],"model\u2019s":[111],"ability":[112],"extract":[114],"features.":[115],"Finally,":[116],"presented,":[121],"which":[122],"reduces":[123],"number":[125,162],"parameters":[127],"one\u2010eighth":[129],"while":[132],"improving":[133],"accuracy":[135],"FER.":[137],"Experimental":[138],"results":[139],"three":[141],"commonly":[142],"used":[143],"datasets":[146],"show":[147],"that":[148],"proposed":[150],"outperforms":[152],"several":[153],"state\u2010of\u2010the\u2010art":[154],"with":[156],"significant":[158],"reduction":[159],"parameters.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}