{"id":"https://openalex.org/W4288063194","doi":"https://doi.org/10.1109/access.2022.3193941","title":"Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare","display_name":"Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288063194","doi":"https://doi.org/10.1109/access.2022.3193941"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3193941","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193941","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09840353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09840353.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038162002","display_name":"Barathi Subramanian","orcid":"https://orcid.org/0000-0002-9009-7998"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Barathi Subramanian","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9009-7998","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052424667","display_name":"Jeonghong Kim","orcid":"https://orcid.org/0000-0002-7466-1376"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeonghong Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7466-1376","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030631880","display_name":"Mohammed Maray","orcid":"https://orcid.org/0000-0002-7066-2945"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Maray","raw_affiliation_strings":["College of Computer Science and Information Systems, King Khalid University, Abha, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-7066-2945","affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Systems, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103095309","display_name":"Anand Paul","orcid":"https://orcid.org/0000-0002-0737-2021"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Anand Paul","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0737-2021","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":13.1408,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.99323221,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"81155","last_page":"81165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587018013000488},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5138974189758301},{"id":"https://openalex.org/keywords/healthcare-system","display_name":"Healthcare system","score":0.4621390402317047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44237959384918213},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.43041691184043884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41232171654701233},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36878901720046997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587018013000488},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5138974189758301},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.4621390402317047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44237959384918213},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.43041691184043884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41232171654701233},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36878901720046997},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3193941","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193941","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09840353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c819ee3c09234e1bb88beb228cc86e44","is_oa":true,"landing_page_url":"https://doaj.org/article/c819ee3c09234e1bb88beb228cc86e44","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 81155-81165 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3193941","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193941","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09840353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2791559250","display_name":null,"funder_award_id":"4199990214394","funder_id":"https://openalex.org/F4320321272","funder_display_name":"Kyungpook National University"},{"id":"https://openalex.org/G5691133571","display_name":null,"funder_award_id":"4199990214394","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7558388333","display_name":null,"funder_award_id":"2020R1A2C1012196","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8876742239","display_name":null,"funder_award_id":"2020R1A2C1012196","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321272","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288063194.pdf","grobid_xml":"https://content.openalex.org/works/W4288063194.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W44146982","https://openalex.org/W1684576420","https://openalex.org/W1954089875","https://openalex.org/W1962847065","https://openalex.org/W1965947362","https://openalex.org/W1969030392","https://openalex.org/W1997060370","https://openalex.org/W1999707555","https://openalex.org/W2030503850","https://openalex.org/W2033773055","https://openalex.org/W2070255939","https://openalex.org/W2103943262","https://openalex.org/W2128042196","https://openalex.org/W2145310492","https://openalex.org/W2148008321","https://openalex.org/W2166537911","https://openalex.org/W2189881936","https://openalex.org/W2244187731","https://openalex.org/W2270626504","https://openalex.org/W2295001676","https://openalex.org/W2624340939","https://openalex.org/W2744909235","https://openalex.org/W2803715966","https://openalex.org/W2810418809","https://openalex.org/W2889319461","https://openalex.org/W2889462528","https://openalex.org/W2922915988","https://openalex.org/W2924877180","https://openalex.org/W2982986041","https://openalex.org/W3005716209","https://openalex.org/W3020589125","https://openalex.org/W3034751874","https://openalex.org/W3101572448","https://openalex.org/W3160544014","https://openalex.org/W3192785644","https://openalex.org/W3211758342","https://openalex.org/W6603261245","https://openalex.org/W6635087628","https://openalex.org/W6750116466","https://openalex.org/W6769831151","https://openalex.org/W6779442434"],"related_works":["https://openalex.org/W1159694101","https://openalex.org/W4312778074","https://openalex.org/W2797427871","https://openalex.org/W3024114128","https://openalex.org/W3214957520","https://openalex.org/W4322577590","https://openalex.org/W2932738180","https://openalex.org/W1965298590","https://openalex.org/W2329153216","https://openalex.org/W4380151695"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1],"(ER)":[2],"in":[3,13,31,67,110,134,167,176,183],"healthcare":[4,151,184],"has":[5],"drawn":[6],"substantial":[7],"attention":[8],"owing":[9],"to":[10,52,145,156,186,198],"recent":[11],"advancements":[12],"machine-learning":[14],"(ML)":[15],"and":[16,39,57,78,88,101,107,142,197,202],"deep-learning":[17],"(DL)":[18],"techniques.":[19],"The":[20],"ER":[21,65,103,127,162],"system,":[22],"along":[23],"with":[24,129],"a":[25,29,98,114,130,188],"digital":[26,131],"twin":[27,132],"of":[28,41,55,86,194],"person":[30],"real":[32,68,111,177],"time,":[33,178],"will":[34,180],"facilitate":[35],"the":[36,42,136,147,173,200],"monitoring,":[37],"understanding,":[38],"improvement":[40],"physical":[43],"entity&#x2019;s":[44],"capabilities,":[45],"as":[46,48,74],"well":[47],"provide":[49],"constant":[50],"input":[51],"improve":[53],"quality":[54],"life":[56],"well-being":[58],"for":[59,206],"personalized":[60],"healthcare.":[61],"However,":[62],"building":[63],"such":[64,73],"systems":[66],"time":[69,112,170],"involves":[70],"technical":[71],"challenges,":[72],"limited":[75],"datasets,":[76],"occlusion":[77],"lighting":[79],"issues,":[80],"identifying":[81],"important":[82],"features,":[83],"false":[84],"classification":[85],"emotions,":[87],"high":[89],"implementation":[90],"costs.":[91],"To":[92],"resolve":[93],"this":[94],"issue,":[95],"we":[96,119],"built":[97],"simple,":[99],"efficient,":[100],"adaptable":[102],"system":[104,128,163],"by":[105],"acquiring":[106],"processing":[108],"images":[109],"using":[113],"web":[115],"camera.":[116],"In":[117],"addition,":[118],"propose":[120],"an":[121,126],"end-to-end":[122],"framework":[123],"that":[124],"combines":[125],"setup,":[133],"which":[135],"predicted":[137],"result":[138],"can":[139],"be":[140,181],"analyzed":[141],"tested":[143],"prior":[144],"providing":[146],"best":[148,201],"possible":[149],"personal":[150],"treatment":[152,205],"before":[153],"it":[154,179],"leads":[155],"any":[157],"life-threatening":[158,195],"disease.":[159],"Our":[160],"proposed":[161],"achieved":[164],"promising":[165],"results":[166],"less":[168],"training":[169],"without":[171],"compromising":[172],"accuracy.":[174],"Thus,":[175],"helpful":[182],"centers":[185],"monitor":[187],"patient&#x2019;s":[189],"health":[190],"condition,":[191],"early":[192],"diagnosis":[193],"diseases,":[196],"obtain":[199],"most":[203],"effective":[204],"patients":[207],"during":[208],"emergencies.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
