{"id":"https://openalex.org/W7164188719","doi":"https://doi.org/10.1155/int/3099014","title":"Chaotic Archerfish Optimizer\u2013Enhanced Double\u2010Attention Dense BiGRU for Video\u2010Based Facial Expression Recognition","display_name":"Chaotic Archerfish Optimizer\u2013Enhanced Double\u2010Attention Dense BiGRU for Video\u2010Based Facial Expression Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164188719","doi":"https://doi.org/10.1155/int/3099014"},"language":"en","primary_location":{"id":"doi:10.1155/int/3099014","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3099014","pdf_url":null,"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://doi.org/10.1155/int/3099014","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027339434","display_name":"R. Punithavathi","orcid":null},"institutions":[{"id":"https://openalex.org/I220840466","display_name":"Chettinad Academy of Research and Education","ror":"https://ror.org/0394w2w14","country_code":"IN","type":"education","lineage":["https://openalex.org/I220840466"]},{"id":"https://openalex.org/I2801758192","display_name":"Chettinad Health City","ror":"https://ror.org/01nvd0q76","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I2801758192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Punithavathi","raw_affiliation_strings":["Computer Science and Engineering ,  Chettinad College of Engineering and Technology ,  Karur , 639114 Tamil Nadu,  India"],"raw_orcid":"https://orcid.org/0000-0002-2537-8152","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering ,  Chettinad College of Engineering and Technology ,  Karur , 639114 Tamil Nadu,  India","institution_ids":["https://openalex.org/I220840466","https://openalex.org/I2801758192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038306753","display_name":"C. Kumar","orcid":"https://orcid.org/0000-0002-1132-4794"},"institutions":[{"id":"https://openalex.org/I4210128379","display_name":"Orthopaedic Research Group","ror":"https://ror.org/02pfaex92","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210128379"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Kumar","raw_affiliation_strings":["Electronics and Communication Engineering ,  Rathinam Technical Campus ,  Coimbatore , 641021 Tamil Nadu,  India"],"raw_orcid":"https://orcid.org/0000-0002-1132-4794","affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering ,  Rathinam Technical Campus ,  Coimbatore , 641021 Tamil Nadu,  India","institution_ids":["https://openalex.org/I4210128379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066163841","display_name":"Saravana Kumar Radhakrishnan","orcid":"https://orcid.org/0000-0002-8307-6208"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Saravana Kumar","raw_affiliation_strings":["School of Electronics Engineering ,  Vellore Institute of Technology , Chennai Campus,  Chennai , Tamil Nadu,  India , vit.ac.in"],"raw_orcid":"https://orcid.org/0000-0002-8307-6208","affiliations":[{"raw_affiliation_string":"School of Electronics Engineering ,  Vellore Institute of Technology , Chennai Campus,  Chennai , Tamil Nadu,  India , vit.ac.in","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032132047","display_name":"Abhinandan Routray","orcid":"https://orcid.org/0000-0002-2360-1242"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhinandan Routray","raw_affiliation_strings":["Manipal Institute of Technology ,  Manipal Academy of Higher Education ,  Manipal ,  India , manipal.edu"],"raw_orcid":"https://orcid.org/0000-0002-2360-1242","affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology ,  Manipal Academy of Higher Education ,  Manipal ,  India , manipal.edu","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032132047"],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73883183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","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":0.8999999761581421,"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":0.8999999761581421,"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/T11448","display_name":"Face recognition and analysis","score":0.011500000022351742,"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":0.00559999980032444,"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/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6840000152587891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6643000245094299},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6467999815940857},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.597000002861023},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5019999742507935},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48170000314712524}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.756600022315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297999858856201},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6840000152587891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6643000245094299},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6467999815940857},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.597000002861023},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4562000036239624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.37950000166893005},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3513999879360199},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28519999980926514}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/3099014","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3099014","pdf_url":null,"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/3099014","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3099014","pdf_url":null,"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":[],"funders":[{"id":"https://openalex.org/F4320318872","display_name":"Manipal Academy of Higher Education","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2600389231","https://openalex.org/W2727455004","https://openalex.org/W2793026107","https://openalex.org/W2801973746","https://openalex.org/W2990144317","https://openalex.org/W3091336546","https://openalex.org/W3118290699","https://openalex.org/W3119833370","https://openalex.org/W3139503245","https://openalex.org/W3172737781","https://openalex.org/W3205895757","https://openalex.org/W3206118858","https://openalex.org/W3206131002","https://openalex.org/W3206908775","https://openalex.org/W3209711513","https://openalex.org/W4211255653","https://openalex.org/W4220828392","https://openalex.org/W4221042956","https://openalex.org/W4221143482","https://openalex.org/W4224003776","https://openalex.org/W4224300453","https://openalex.org/W4280559254","https://openalex.org/W4281631140","https://openalex.org/W4281875866","https://openalex.org/W4282035647","https://openalex.org/W4283372757","https://openalex.org/W4285250231","https://openalex.org/W4291741556","https://openalex.org/W4296558638","https://openalex.org/W4307029502","https://openalex.org/W4313704731","https://openalex.org/W4315647735","https://openalex.org/W4317035086","https://openalex.org/W4318980730","https://openalex.org/W4320001418","https://openalex.org/W4321243271","https://openalex.org/W4324030711","https://openalex.org/W4328122039","https://openalex.org/W4362668706","https://openalex.org/W4366438791","https://openalex.org/W4376867187","https://openalex.org/W4376876473","https://openalex.org/W4379469372","https://openalex.org/W4386702767","https://openalex.org/W4386703038","https://openalex.org/W4389454166","https://openalex.org/W4391003518","https://openalex.org/W4391228678","https://openalex.org/W4399389843","https://openalex.org/W4400911572","https://openalex.org/W4401815928","https://openalex.org/W4402916143","https://openalex.org/W4406225575"],"related_works":[],"abstract_inverted_index":{"Facial":[0],"expression":[1,44,59],"recognition":[2,12,148],"(FER)":[3],"is":[4,45,71,88,107,118,138,193],"a":[5,81],"growing":[6],"and":[7,40,48,129,135,163,183,207,209,219],"important":[8],"area":[9],"of":[10,22,52,57,176,189,213],"pattern":[11],"research.":[13],"In":[14],"today\u2019s":[15],"application":[16],"domains,":[17],"such":[18,200],"as":[19,201],"the":[20,46,69,75,78,111,122,133,141,147,169,190,211],"identification":[21],"human":[23],"facial":[24,58],"expression,":[25],"deep":[26,85],"learning":[27,86],"techniques":[28,61],"have":[29],"gained":[30],"popularity.":[31],"The":[32,55,115,150,187],"expressions":[33],"on":[34,127,196],"people\u2019s":[35],"faces":[36,64],"reveal":[37],"their":[38],"motives":[39],"emotional":[41],"actions.":[42],"An":[43],"easiest":[47],"most":[49],"efficient":[50],"form":[51],"nonverbal":[53],"communication.":[54],"accuracy":[56],"detection":[60],"decreases":[62],"when":[63],"are":[65],"partially":[66],"obscured":[67],"or":[68],"illumination":[70],"uneven.":[72],"To":[73],"address":[74],"issues":[76],"in":[77,90,157],"existing":[79],"systems,":[80],"novel":[82],"optimal":[83],"hybrid":[84],"method":[87,117,192],"presented":[89],"this":[91],"paper.":[92],"Here,":[93],"chaotic":[94],"archerfish":[95],"hunting":[96],"optimizer\u2013based":[97],"double":[98,123],"attention":[99,124],"dense":[100],"bidirectional":[101],"gated":[102],"recurrent":[103],"unit":[104],"(ChAO\u2010based":[105],"DAttn_DenseBi_Net)":[106],"introduced":[108],"to":[109,145],"detect":[110],"FER":[112,156],"from":[113],"videos.":[114],"proposed":[116,142,151,170,191],"designed":[119],"by":[120],"integrating":[121],"mechanism":[125],"based":[126,195],"spatial":[128],"temporal":[130],"attentions":[131],"with":[132],"DenseNet":[134],"BiGRU,":[136],"which":[137],"tuned":[139],"using":[140],"ChAO":[143],"algorithm":[144],"enhance":[146],"accuracy.":[149],"ChAO\u2010based":[152,171],"DAttn_DenseBi_Net":[153,172],"technique":[154],"for":[155,178,181,185],"three":[158],"different":[159],"datasets:":[160],"RAVDESS,":[161,179],"iCVMEFED,":[162,182],"AFEW.":[164,186],"With":[165],"90%":[166],"training":[167],"data,":[168],"approach":[173],"attains":[174],"accuracies":[175],"95.23%":[177],"96.21%":[180],"95.38%":[184],"performance":[188],"measured":[194],"various":[197],"assessment":[198],"measures":[199],"accuracy,":[202],"specificity,":[203],"precision,":[204],"recall,":[205],"F1\u2010measure,":[206],"MSE":[208],"acquired":[210],"values":[212],"96.21%,":[214,217],"97.36%,":[215],"94.93%,":[216],"95.55%,":[218],"3.79":[220],"respectively.":[221]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-06-11T00:00:00"}