{"id":"https://openalex.org/W3188075717","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498888","title":"SferNet: A Novel Network for Static Facial Emotion Recognition","display_name":"SferNet: A Novel Network for Static Facial Emotion Recognition","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3188075717","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498888","mag":"3188075717"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","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/A5100417934","display_name":"Qianqian Chen","orcid":"https://orcid.org/0000-0002-0065-5504"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Chen","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102890552","display_name":"Ronghui Zhang","orcid":"https://orcid.org/0000-0001-7838-0638"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063001429","display_name":"Sijie Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Wei","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050556544","display_name":"Junsheng Mu","orcid":"https://orcid.org/0000-0002-5352-8314"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsheng Mu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027047483","display_name":"Xiaojun Jing","orcid":"https://orcid.org/0000-0003-2560-4364"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Jing","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100417934"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.1753,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54344521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2080","last_page":"2085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8180233836174011},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.7558021545410156},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6811396479606628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758605241775513},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6477220058441162},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5913190841674805},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5607624650001526},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5330093502998352},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.531705915927887},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.45574426651000977},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4554959237575531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4505520462989807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44275766611099243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2636154890060425},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.19953790307044983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11494559049606323}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8180233836174011},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.7558021545410156},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6811396479606628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758605241775513},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6477220058441162},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5913190841674805},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5607624650001526},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5330093502998352},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.531705915927887},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.45574426651000977},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4554959237575531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505520462989807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44275766611099243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2636154890060425},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.19953790307044983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11494559049606323},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","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":26,"referenced_works":["https://openalex.org/W1631012836","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1974210421","https://openalex.org/W2041616772","https://openalex.org/W2053437444","https://openalex.org/W2097117768","https://openalex.org/W2103943262","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2217426128","https://openalex.org/W2490049321","https://openalex.org/W2618530766","https://openalex.org/W2730601341","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2799041689","https://openalex.org/W2891191887","https://openalex.org/W2916690307","https://openalex.org/W2931011950","https://openalex.org/W2949117887","https://openalex.org/W3082185616","https://openalex.org/W3124054989","https://openalex.org/W3130501658","https://openalex.org/W3208669052","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2584926856","https://openalex.org/W2162992774","https://openalex.org/W2075935902","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"The":[0],"facial":[1],"expression":[2,87],"contains":[3],"abundant":[4],"emotional":[5],"information,":[6],"mirrors":[7],"the":[8,78,99],"psychological":[9],"state":[10],"of":[11,81],"people":[12],"and":[13,71,83,96,108],"plays":[14],"an":[15],"important":[16],"role":[17],"in":[18],"daily":[19],"communication.":[20],"Facial":[21,61],"emotion":[22],"recognition":[23,106],"(FER)":[24],"has":[25,36],"been":[26,37],"a":[27,40,53,103],"popular":[28,93],"research":[29],"field":[30],"with":[31],"great":[32],"significance.":[33],"However,":[34],"FER":[35,82],"regarded":[38],"as":[39],"challenging":[41],"issue":[42],"due":[43],"to":[44,85],"individual":[45],"variation,":[46],"illumination,":[47],"occlusion,":[48],"etc.":[49],"In":[50],"this":[51],"paper,":[52],"novel":[54],"network":[55],"SferNet":[56,76],"is":[57],"proposed":[58,100],"for":[59],"Static":[60],"Emotion":[62],"Recognition":[63],"(SFER),":[64],"where":[65],"data":[66],"enhancement,":[67],"Batch":[68],"Normalization":[69],"(BN)":[70],"Dropout":[72],"modules":[73],"are":[74],"considered.":[75],"improves":[77],"generalization":[79],"capacity":[80],"applies":[84],"non-peak":[86],"recognition.":[88],"Extensive":[89],"comparisons":[90],"on":[91],"two":[92],"datasets,":[94],"CK+":[95],"JAFFE,":[97],"demonstrate":[98],"framework":[101],"makes":[102],"trade-off":[104],"between":[105],"rate":[107],"model":[109],"complexity.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
