{"id":"https://openalex.org/W4323567099","doi":"https://doi.org/10.1007/s11042-023-14543-6","title":"Impact of lockdown on Generation-Z: a fuzzy based multimodal emotion recognition approach using CNN","display_name":"Impact of lockdown on Generation-Z: a fuzzy based multimodal emotion recognition approach using CNN","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4323567099","doi":"https://doi.org/10.1007/s11042-023-14543-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-14543-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-14543-6","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5003570980","display_name":"Sirshendu Hore","orcid":"https://orcid.org/0000-0002-6045-5352"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sirshendu Hore","raw_affiliation_strings":["Department of CSE, HETC, Hooghly, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, HETC, Hooghly, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102435826","display_name":"Tanmay Bhattacharya","orcid":null},"institutions":[{"id":"https://openalex.org/I1288043984","display_name":"Techno India University","ror":"https://ror.org/00v1y6t69","country_code":"IN","type":"education","lineage":["https://openalex.org/I1288043984"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Bhattacharya","raw_affiliation_strings":["Department of IT, Techno Main Salt Lake, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of IT, Techno Main Salt Lake, Kolkata, India","institution_ids":["https://openalex.org/I1288043984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003570980"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3128,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79613904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"82","issue":"22","first_page":"33835","last_page":"33863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9747999906539917,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9625999927520752,"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":0.749860942363739},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6205196380615234},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5881154537200928},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5570276975631714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5271052122116089},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5048109292984009},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4923332929611206},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4713420569896698},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.44261014461517334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37917834520339966},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3244195282459259},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1829049289226532},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09910395741462708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749860942363739},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6205196380615234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5881154537200928},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5570276975631714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271052122116089},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5048109292984009},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4923332929611206},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4713420569896698},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.44261014461517334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37917834520339966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3244195282459259},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1829049289226532},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09910395741462708},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.1007/s11042-023-14543-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-14543-6","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W257874415","https://openalex.org/W1637570796","https://openalex.org/W1758811288","https://openalex.org/W1974210421","https://openalex.org/W2003238582","https://openalex.org/W2031402837","https://openalex.org/W2032254851","https://openalex.org/W2033773055","https://openalex.org/W2053432263","https://openalex.org/W2065379720","https://openalex.org/W2067147147","https://openalex.org/W2103943262","https://openalex.org/W2106115875","https://openalex.org/W2106390385","https://openalex.org/W2128070398","https://openalex.org/W2134667272","https://openalex.org/W2144723972","https://openalex.org/W2145310492","https://openalex.org/W2147863532","https://openalex.org/W2149628368","https://openalex.org/W2164598857","https://openalex.org/W2165731615","https://openalex.org/W2189018360","https://openalex.org/W2194775991","https://openalex.org/W2244142460","https://openalex.org/W2436394355","https://openalex.org/W2481573820","https://openalex.org/W2490049321","https://openalex.org/W2500790812","https://openalex.org/W2553014783","https://openalex.org/W2580920386","https://openalex.org/W2606933083","https://openalex.org/W2608133096","https://openalex.org/W2744909235","https://openalex.org/W2755860313","https://openalex.org/W2790776461","https://openalex.org/W2803193013","https://openalex.org/W2884813857","https://openalex.org/W2899156568","https://openalex.org/W2901531394","https://openalex.org/W2904483377","https://openalex.org/W2908671501","https://openalex.org/W2935842172","https://openalex.org/W2944523338","https://openalex.org/W2962835968","https://openalex.org/W2964028220","https://openalex.org/W3015698531","https://openalex.org/W3016236951","https://openalex.org/W3019170348","https://openalex.org/W3037650504","https://openalex.org/W3037933265","https://openalex.org/W3039027785","https://openalex.org/W3092189174","https://openalex.org/W3109943296","https://openalex.org/W3118290699","https://openalex.org/W3119833370","https://openalex.org/W4288602157","https://openalex.org/W4388315058","https://openalex.org/W6701159256"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2085024878","https://openalex.org/W4361008003"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}