{"id":"https://openalex.org/W4404031392","doi":"https://doi.org/10.1109/icccnt61001.2024.10725699","title":"Facial Emotion Recognition Using Computer Vision Techniques","display_name":"Facial Emotion Recognition Using Computer Vision Techniques","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031392","doi":"https://doi.org/10.1109/icccnt61001.2024.10725699"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5079299702","display_name":"P. K. Gupta","orcid":"https://orcid.org/0000-0003-0416-7097"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pradeep Kumar Gupta","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114511605","display_name":"Nayantara Varadharajan","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nayantara Varadharajan","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026835526","display_name":"Keerthana Ajith","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Keerthana Ajith","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022739741","display_name":"Tripty Singh","orcid":"https://orcid.org/0000-0002-3688-4392"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tripty Singh","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Dept. of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063994613","display_name":"Payel Patra","orcid":"https://orcid.org/0000-0002-4615-4211"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Payel Patra","raw_affiliation_strings":["University of L&#x2019;Aquila,DISIM Department,L&#x2019;Aquila,Italy"],"affiliations":[{"raw_affiliation_string":"University of L&#x2019;Aquila,DISIM Department,L&#x2019;Aquila,Italy","institution_ids":["https://openalex.org/I26415053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079299702"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.7488,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73244466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.44429999589920044,"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":0.44429999589920044,"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":0.7126590609550476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5843038558959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304049253463745},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5113096237182617},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.503877580165863},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38277190923690796},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.25585901737213135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126590609550476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5843038558959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304049253463745},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5113096237182617},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.503877580165863},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38277190923690796},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25585901737213135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":25,"referenced_works":["https://openalex.org/W2799041689","https://openalex.org/W2913942704","https://openalex.org/W2985108241","https://openalex.org/W3008425820","https://openalex.org/W3020105295","https://openalex.org/W3020496054","https://openalex.org/W3047499479","https://openalex.org/W3048297990","https://openalex.org/W3118234491","https://openalex.org/W3130875629","https://openalex.org/W3155551469","https://openalex.org/W3157429286","https://openalex.org/W3172246645","https://openalex.org/W3193087369","https://openalex.org/W3203381531","https://openalex.org/W3213549829","https://openalex.org/W3215983431","https://openalex.org/W4318570685","https://openalex.org/W4323520753","https://openalex.org/W4377983075","https://openalex.org/W4378980208","https://openalex.org/W4386920811","https://openalex.org/W4387251185","https://openalex.org/W4388938411","https://openalex.org/W4389723912"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,98,168],"ability":[1],"to":[2,139,149],"recognize":[3],"facial":[4,29,181],"emotions":[5,38,151],"through":[6],"computer":[7,53,145,166],"vision":[8,54,146],"has":[9,87],"become":[10],"a":[11,25,185],"challenging":[12],"yet":[13],"crucial":[14],"task":[15],"in":[16,52,78,93,102,143,159],"the":[17,33,58,82,106,133,140,154],"field":[18],"of":[19,35,84,108],"image":[20,79],"classification.":[21],"This":[22,136],"paper":[23],"introduces":[24],"method":[26],"for":[27,90,156,180],"detecting":[28],"emotions,":[30],"focusing":[31],"on":[32,132],"classification":[34],"seven":[36],"distinct":[37,63],"which":[39],"are":[40],"neutral,":[41],"sadness,":[42],"anger,":[43],"disgust,":[44],"fear,":[45],"happiness,":[46],"and":[47,55,70,81,114,122,152,164,176],"surprise.":[48],"Using":[49],"recent":[50],"advancements":[51],"machine":[56],"learning,":[57],"proposed":[59],"approach":[60],"employs":[61],"three":[62],"models:":[64],"Convolutional":[65],"Neural":[66],"Network":[67],"(CNN),":[68],"ResNet50,":[69],"InceptionV3.":[71],"Facial":[72],"expression":[73],"recognition":[74,183],"poses":[75],"unique":[76],"challenges":[77],"classification,":[80],"adoption":[83],"deep":[85],"learning":[86],"gained":[88],"prominence":[89],"its":[91],"effectiveness":[92],"solving":[94],"this":[95,103],"complex":[96],"problem.":[97],"key":[99],"challenge":[100],"addressed":[101],"research":[104,137],"is":[105],"design":[107],"architectures":[109,179],"that":[110],"balance":[111],"both":[112],"simplicity":[113],"effectiveness.":[115],"A":[116],"simple":[117],"architecture":[118],"ensures":[119],"quick":[120],"training":[121],"easy":[123],"implementation,":[124],"while":[125],"an":[126],"effective":[127,175],"one":[128],"yields":[129],"high":[130],"accuracy":[131],"test":[134],"data.":[135],"contributes":[138],"ongoing":[141],"efforts":[142],"advancing":[144],"applications":[147],"related":[148],"human":[150,165],"highlights":[153],"potential":[155],"practical":[157],"implementation":[158],"areas":[160],"like":[161],"affective":[162],"computing":[163],"interaction.":[167],"findings":[169],"offer":[170],"valuable":[171],"insights":[172],"into":[173],"designing":[174],"efficient":[177],"deep-learning":[178],"emotion":[182],"with":[184],"multiclass":[186],"approach.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
