{"id":"https://openalex.org/W3016118807","doi":"https://doi.org/10.1109/ncc48643.2020.9056011","title":"Frontal Facial Expression Recognition using Parallel CNN Model","display_name":"Frontal Facial Expression Recognition using Parallel CNN Model","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3016118807","doi":"https://doi.org/10.1109/ncc48643.2020.9056011","mag":"3016118807"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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/A5078843849","display_name":"Sagar Deep Deb","orcid":"https://orcid.org/0000-0002-9586-1131"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sagar Deep Deb","raw_affiliation_strings":["Indian Institute of Technology Patna,Dept. of Electrical Engineering,Patna,India","Dept. of Electrical Engineering, Indian Institute of Technology Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Patna,Dept. of Electrical Engineering,Patna,India","institution_ids":["https://openalex.org/I132153292"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Indian Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I132153292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088735693","display_name":"Chandraiit Choudhury","orcid":null},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandraiit Choudhury","raw_affiliation_strings":["National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","institution_ids":["https://openalex.org/I151903974"]},{"raw_affiliation_string":"Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749258","display_name":"Manish Sharma","orcid":"https://orcid.org/0000-0002-1867-9379"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Sharma","raw_affiliation_strings":["National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","institution_ids":["https://openalex.org/I151903974"]},{"raw_affiliation_string":"Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034744347","display_name":"Fazal Ahmed Talukdar","orcid":"https://orcid.org/0000-0002-5067-3444"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Fazal Ahmed Talukdar","raw_affiliation_strings":["National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","institution_ids":["https://openalex.org/I151903974"]},{"raw_affiliation_string":"Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000303933","display_name":"Rabul Hussain Laskar","orcid":"https://orcid.org/0000-0003-3988-394X"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rabul Hussain Laskar","raw_affiliation_strings":["National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Dept. of Electronics and Communication Engineering,Silchar,India","institution_ids":["https://openalex.org/I151903974"]},{"raw_affiliation_string":"Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078843849"],"corresponding_institution_ids":["https://openalex.org/I132153292"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64678699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7970873713493347},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7960655689239502},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6606398820877075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6298001408576965},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6176400780677795},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6015679240226746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5968366265296936},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5416020154953003},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4529135227203369},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44344085454940796},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4429115653038025},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.43462955951690674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33975809812545776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7970873713493347},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7960655689239502},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6606398820877075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6298001408576965},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6176400780677795},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6015679240226746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5968366265296936},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5416020154953003},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4529135227203369},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44344085454940796},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4429115653038025},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.43462955951690674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33975809812545776},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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":30,"referenced_works":["https://openalex.org/W825525975","https://openalex.org/W1686810756","https://openalex.org/W1996958556","https://openalex.org/W2028880308","https://openalex.org/W2030562279","https://openalex.org/W2081835714","https://openalex.org/W2094011994","https://openalex.org/W2143899944","https://openalex.org/W2153635508","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2217426128","https://openalex.org/W2246249023","https://openalex.org/W2340427832","https://openalex.org/W2550929906","https://openalex.org/W2551403050","https://openalex.org/W2581082139","https://openalex.org/W2796250229","https://openalex.org/W2805781993","https://openalex.org/W2912990735","https://openalex.org/W2949662773","https://openalex.org/W2950094539","https://openalex.org/W2995034616","https://openalex.org/W3102749295","https://openalex.org/W3104792420","https://openalex.org/W3120421331","https://openalex.org/W4285719527","https://openalex.org/W6729924262","https://openalex.org/W6771710517"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W3089923070","https://openalex.org/W2162992774","https://openalex.org/W2985118265","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069"],"abstract_inverted_index":{"Facial":[0],"expression":[1,60],"recognition":[2,31],"is":[3,25],"one":[4],"of":[5,22,59],"the":[6,80,84,99,103],"very":[7],"important":[8,71],"research":[9],"topics":[10],"in":[11,39],"computer":[12],"vision.":[13],"Studies":[14],"on":[15,68],"nonverbal":[16],"communication":[17],"have":[18,48,88,108],"shown":[19],"that":[20],"55%":[21],"intentional":[23],"information":[24],"conveyed":[26],"through":[27],"facial":[28,105],"expressions.":[29],"Expression":[30],"has":[32],"recently":[33],"found":[34,90],"a":[35,50,93],"lot":[36],"many":[37],"applications":[38],"medical":[40],"and":[41,120],"advertising":[42],"industries.":[43],"In":[44],"this":[45],"paper":[46],"we":[47],"proposed":[49],"parallel":[51,85],"Convolutional":[52],"Neural":[53],"Network":[54],"(CNN)":[55],"structure":[56],"for":[57],"detection":[58],"from":[61,83],"frontal":[62],"faces.":[63],"The":[64,74],"CNNs":[65],"are":[66],"trained":[67],"two":[69],"most":[70],"subfacial":[72],"patches.":[73],"overall":[75],"feature":[76],"vector":[77],"will":[78],"be":[79],"features":[81],"concatenated":[82],"models.":[86],"We":[87,107],"experimentally":[89],"applying":[91],"such":[92],"strategy":[94],"provides":[95],"better":[96],"results":[97],"than":[98],"models":[100],"which":[101],"take":[102],"entire":[104],"image.":[106],"also":[109],"compared":[110],"our":[111],"performance":[112],"with":[113],"other":[114],"benchmark":[115],"CNN":[116],"structures":[117],"like":[118],"AlexNet":[119],"VGG16.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
