{"id":"https://openalex.org/W4293103766","doi":"https://doi.org/10.3390/e24091187","title":"Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition","display_name":"Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4293103766","doi":"https://doi.org/10.3390/e24091187","pmid":"https://pubmed.ncbi.nlm.nih.gov/36141073"},"language":"en","primary_location":{"id":"doi:10.3390/e24091187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091187","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1187/pdf?version=1663839362","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/9/1187/pdf?version=1663839362","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057673677","display_name":"Qi Li","orcid":"https://orcid.org/0000-0003-3878-6662"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700939","display_name":"Yunqing Liu","orcid":"https://orcid.org/0000-0002-4518-1306"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunqing Liu","raw_affiliation_strings":["Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035712811","display_name":"Yujie Shang","orcid":"https://orcid.org/0000-0003-2900-7575"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Shang","raw_affiliation_strings":["Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407284","display_name":"Qiong Zhang","orcid":"https://orcid.org/0000-0001-9062-9571"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Zhang","raw_affiliation_strings":["Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101998018","display_name":"Fei Yan","orcid":"https://orcid.org/0000-0003-4134-9017"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yan","raw_affiliation_strings":["Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130012, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100700939"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.4672,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89475551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"9","first_page":"1187","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8418958783149719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8162305355072021},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7874990105628967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6916999816894531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.632172167301178},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6129587292671204},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5461739301681519},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4750889837741852},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45947495102882385},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4201820194721222},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4161321818828583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35488009452819824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07520586252212524}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8418958783149719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162305355072021},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7874990105628967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916999816894531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.632172167301178},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6129587292671204},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5461739301681519},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4750889837741852},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45947495102882385},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4201820194721222},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4161321818828583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35488009452819824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07520586252212524},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24091187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091187","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1187/pdf?version=1663839362","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36141073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36141073","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:28b7243e73504ba585372ec00f54babc","is_oa":true,"landing_page_url":"https://doaj.org/article/28b7243e73504ba585372ec00f54babc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 9, p 1187 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/9/1187/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24091187","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 9; Pages: 1187","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9497873","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9497873","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24091187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091187","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1187/pdf?version=1663839362","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293103766.pdf","grobid_xml":"https://content.openalex.org/works/W4293103766.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2165611870","https://openalex.org/W2176865601","https://openalex.org/W2278113816","https://openalex.org/W2292667633","https://openalex.org/W2393256679","https://openalex.org/W2413045365","https://openalex.org/W2572280252","https://openalex.org/W2731836491","https://openalex.org/W2761266324","https://openalex.org/W2786768213","https://openalex.org/W2792523725","https://openalex.org/W2806431766","https://openalex.org/W2922188941","https://openalex.org/W2941598199","https://openalex.org/W2952116256","https://openalex.org/W2952286992","https://openalex.org/W2980152129","https://openalex.org/W2980502851","https://openalex.org/W3038842541","https://openalex.org/W3177392932","https://openalex.org/W3189185512","https://openalex.org/W3189300284","https://openalex.org/W4224297580","https://openalex.org/W4280588005"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recently,":[0],"emotional":[1],"electroencephalography":[2],"(EEG)":[3],"has":[4,25],"been":[5],"of":[6,28,47,51,118,149,171],"great":[7],"importance":[8],"in":[9,67],"brain-computer":[10],"interfaces,":[11],"and":[12,33,53,87,122,151,155],"it":[13],"is":[14,65],"more":[15],"urgent":[16],"to":[17,35,79,166],"realize":[18],"automatic":[19],"emotion":[20],"recognition.":[21],"The":[22,129,146],"EEG":[23,39,85,120],"signal":[24,40,86],"the":[26,45,59,84,112,115,119,142,169,172],"disadvantages":[27,46],"being":[29],"non-smooth,":[30],"non-linear,":[31],"stochastic,":[32],"susceptible":[34],"background":[36],"noise.":[37],"Additionally,":[38],"processing":[41],"network":[42,75,97],"models":[43],"have":[44],"a":[48,62,71,94],"large":[49],"number":[50],"parameters":[52],"long":[54,100],"training":[55],"time.":[56],"To":[57],"address":[58],"above":[60],"issues,":[61],"novel":[63],"model":[64,137],"presented":[66],"this":[68],"paper.":[69],"Initially,":[70],"deep":[72],"sparse":[73],"autoencoder":[74],"(DSAE)":[76],"was":[77,138],"used":[78],"remove":[80],"redundant":[81],"information":[82,125],"from":[83,108,126],"reconstruct":[88],"its":[89],"underlying":[90],"features.":[91],"Further,":[92],"combining":[93],"convolutional":[95],"neural":[96],"(CNN)":[98],"with":[99,140,162],"short-term":[101],"memory":[102],"(LSTM)":[103],"can":[104],"extract":[105],"relevant":[106],"features":[107],"task-related":[109],"features,":[110],"mine":[111],"correlation":[113],"between":[114],"32":[116],"channels":[117],"signal,":[121],"integrate":[123],"contextual":[124],"these":[127],"frames.":[128],"proposed":[130],"DSAE":[131],"+":[132,134],"CNN":[133],"LSTM":[135],"(DCRNN)":[136],"experimented":[139],"on":[141],"public":[143],"dataset":[144],"DEAP.":[145],"classification":[147],"accuracies":[148],"valence":[150],"arousal":[152],"reached":[153],"76.70%":[154],"81.43%,":[156],"respectively.":[157],"Meanwhile,":[158],"we":[159],"conducted":[160],"experiments":[161],"other":[163],"comparative":[164],"methods":[165],"further":[167],"demonstrate":[168],"effectiveness":[170],"DCRNN":[173],"method.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}