{"id":"https://openalex.org/W4392248354","doi":"https://doi.org/10.1109/icce59016.2024.10444217","title":"Deep Learning-Based Facial Emotion Detection in the Metaverse","display_name":"Deep Learning-Based Facial Emotion Detection in the Metaverse","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248354","doi":"https://doi.org/10.1109/icce59016.2024.10444217"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","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/A5071261948","display_name":"Brij B. Gupta","orcid":"https://orcid.org/0000-0003-4929-4698"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]},{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB","TW"],"is_corresponding":true,"raw_author_name":"Brij B. Gupta","raw_affiliation_strings":["Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan,413","Lebanese American University, Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan,413","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Lebanese American University, Beirut, Lebanon","institution_ids":["https://openalex.org/I56306041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042846465","display_name":"Akshat Gaurav","orcid":"https://orcid.org/0000-0002-5796-9424"},"institutions":[{"id":"https://openalex.org/I4210147267","display_name":"Ronin Institute","ror":"https://ror.org/04awze035","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshat Gaurav","raw_affiliation_strings":["Ronin Institute,Montclair,NJ,USA","Ronin Institute, Montclair, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Ronin Institute,Montclair,NJ,USA","institution_ids":["https://openalex.org/I4210147267"]},{"raw_affiliation_string":"Ronin Institute, Montclair, NJ, USA","institution_ids":["https://openalex.org/I4210147267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Tai Chui","raw_affiliation_strings":["Hong Kong Metropolitan University (HKMU),Hong Kong","Hong Kong Metropolitan University (HKMU), Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Metropolitan University (HKMU),Hong Kong","institution_ids":["https://openalex.org/I8679417"]},{"raw_affiliation_string":"Hong Kong Metropolitan University (HKMU), Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086803967","display_name":"Varsha Arya","orcid":"https://orcid.org/0000-0001-7549-4429"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Varsha Arya","raw_affiliation_strings":["Asia University,Taichung,Taiwan","Asia University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Asia University,Taichung,Taiwan","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071261948"],"corresponding_institution_ids":["https://openalex.org/I143578492","https://openalex.org/I56306041"],"apc_list":null,"apc_paid":null,"fwci":2.9261,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90010641,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9684000015258789,"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"}},"topics":[{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9684000015258789,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.965499997138977,"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/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.9013000130653381,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105470895767212},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.6002830862998962},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.4957669675350189},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48536860942840576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4585551619529724},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4299699366092682},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4244965612888336},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.33069050312042236},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.1996154487133026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105470895767212},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.6002830862998962},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.4957669675350189},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48536860942840576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4585551619529724},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4299699366092682},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4244965612888336},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.33069050312042236},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.1996154487133026}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1973976002","https://openalex.org/W2995341271","https://openalex.org/W3008007858","https://openalex.org/W3023790105","https://openalex.org/W3113358622","https://openalex.org/W3163472990","https://openalex.org/W4200164693","https://openalex.org/W4211092666","https://openalex.org/W4213101073","https://openalex.org/W4213298225","https://openalex.org/W4220933728","https://openalex.org/W4225001092","https://openalex.org/W4226197395","https://openalex.org/W4280556585","https://openalex.org/W4281400467","https://openalex.org/W4285244819","https://openalex.org/W4294811355","https://openalex.org/W4304202992","https://openalex.org/W4310468239","https://openalex.org/W4312240632","https://openalex.org/W4313046019","https://openalex.org/W4315629780","https://openalex.org/W4315702472","https://openalex.org/W4321192275","https://openalex.org/W4323767304","https://openalex.org/W4366774922","https://openalex.org/W4377091260","https://openalex.org/W4380786605","https://openalex.org/W4381548508","https://openalex.org/W4382726291","https://openalex.org/W6689149685"],"related_works":["https://openalex.org/W4379117383","https://openalex.org/W2584926856","https://openalex.org/W2075935902","https://openalex.org/W4391307871","https://openalex.org/W4206796671","https://openalex.org/W3090814224","https://openalex.org/W4312615275","https://openalex.org/W4392502551","https://openalex.org/W2014713986","https://openalex.org/W2336827033"],"abstract_inverted_index":{"The":[0,24],"Metaverse":[1],"is":[2,10,26,62,69],"currently":[3],"becoming":[4],"a":[5,55,87],"massive":[6],"technology":[7,20,32],"platform":[8],"and":[9,21,43,46,52],"considered":[11],"to":[12],"be":[13],"the":[14,60,74,80,94,101,106],"next":[15],"significant":[16],"development":[17],"in":[18,54,64,73,79,105],"global":[19],"business":[22],"landscapes.":[23],"metaverse":[25,61],"touted":[27],"as":[28],"an":[29],"exciting":[30],"new":[31],"amalgamation":[33],"facilitating":[34],"next-level":[35],"immersive":[36],"experiences":[37],"for":[38,49,93],"users.":[39],"It":[40],"merges":[41],"physical":[42],"virtual":[44],"reality":[45],"provides":[47],"channels":[48],"multisensory":[50],"interactions":[51],"immersions":[53],"variety":[56],"of":[57,76,103],"environments.":[58],"As":[59],"still":[63],"its":[65],"early":[66],"stages,":[67],"there":[68],"very":[70],"little":[71],"research":[72],"field":[75],"emotion":[77,90],"recognition":[78],"metaverse.":[81,95,107],"In":[82],"this":[83],"context,":[84],"we":[85],"propsed":[86],"deep":[88],"CNN-based":[89],"detection":[91],"model":[92],"Our":[96],"proposed":[97],"approach":[98],"efficiently":[99],"detects":[100],"emotions":[102],"users":[104]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}