{"id":"https://openalex.org/W4321099452","doi":"https://doi.org/10.3390/a16020118","title":"EEG Data Augmentation for Emotion Recognition with a Task-Driven GAN","display_name":"EEG Data Augmentation for Emotion Recognition with a Task-Driven GAN","publication_year":2023,"publication_date":"2023-02-15","ids":{"openalex":"https://openalex.org/W4321099452","doi":"https://doi.org/10.3390/a16020118"},"language":"en","primary_location":{"id":"doi:10.3390/a16020118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020118","pdf_url":"https://www.mdpi.com/1999-4893/16/2/118/pdf?version=1676471872","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/2/118/pdf?version=1676471872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805697","display_name":"Qing Liu","orcid":"https://orcid.org/0009-0000-1675-9036"},"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":"Qing Liu","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026596127","display_name":"Jianjun Hao","orcid":"https://orcid.org/0000-0003-3368-0682"},"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":"Jianjun Hao","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102816234","display_name":"Yijun Guo","orcid":"https://orcid.org/0000-0002-2488-8054"},"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":"Yijun Guo","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026596127"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.2895,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87666739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"2","first_page":"118","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.805562436580658},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7004397511482239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6116092205047607},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5669677257537842},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5055146217346191},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49436235427856445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48164430260658264},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4685939848423004},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4141230285167694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4023299813270569},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3849252462387085},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08683791756629944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805562436580658},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7004397511482239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6116092205047607},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5669677257537842},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5055146217346191},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49436235427856445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48164430260658264},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4685939848423004},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4141230285167694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4023299813270569},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3849252462387085},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08683791756629944},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16020118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020118","pdf_url":"https://www.mdpi.com/1999-4893/16/2/118/pdf?version=1676471872","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6f4a908982e48b281d6ce137c5e112d","is_oa":true,"landing_page_url":"https://doaj.org/article/e6f4a908982e48b281d6ce137c5e112d","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":"Algorithms, Vol 16, Iss 2, p 118 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/2/118/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16020118","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":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16020118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020118","pdf_url":"https://www.mdpi.com/1999-4893/16/2/118/pdf?version=1676471872","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321099452.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W2002055708","https://openalex.org/W2739748921","https://openalex.org/W2898664946","https://openalex.org/W2901337091","https://openalex.org/W2938671123","https://openalex.org/W2950978907","https://openalex.org/W3044186523","https://openalex.org/W3046474724","https://openalex.org/W3083255269","https://openalex.org/W3111857857","https://openalex.org/W3125807224","https://openalex.org/W3130540124","https://openalex.org/W3142509220","https://openalex.org/W3156005160","https://openalex.org/W3175707965","https://openalex.org/W3191630664","https://openalex.org/W3194358234","https://openalex.org/W3207494443","https://openalex.org/W3212452652","https://openalex.org/W4281705055","https://openalex.org/W4318317793","https://openalex.org/W4320013936","https://openalex.org/W6735913928","https://openalex.org/W6794372902"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W4312960290","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W3126677997"],"abstract_inverted_index":{"The":[0,64,93],"high":[1],"cost":[2],"of":[3,10,39],"acquiring":[4],"training":[5],"data":[6,45,66,72,104],"in":[7,44,47,119,122],"the":[8,36,87,90,98,115],"field":[9],"emotion":[11,32,124],"recognition":[12,33,125],"based":[13,56],"on":[14,57],"electroencephalogram":[15],"(EEG)":[16],"is":[17,83],"a":[18,25,53,78],"problem,":[19],"making":[20],"it":[21],"difficult":[22],"to":[23,59,85,114],"establish":[24],"high-precision":[26],"model":[27],"from":[28],"EEG":[29,71],"signals":[30],"for":[31],"tasks.":[34,126],"Given":[35],"outstanding":[37],"performance":[38],"generative":[40],"adversarial":[41,91],"networks":[42],"(GANs)":[43],"augmentation":[46],"recent":[48],"years,":[49],"this":[50],"paper":[51],"proposes":[52],"task-driven":[54],"method":[55,100],"CWGAN":[58],"generate":[60,102],"high-quality":[61],"artificial":[62,103],"data.":[63],"generated":[65],"are":[67,111],"represented":[68],"as":[69],"multi-channel":[70],"differential":[73],"entropy":[74],"feature":[75],"maps,":[76],"and":[77,108],"task":[79],"network":[80],"(emotion":[81],"classifier)":[82],"introduced":[84],"guide":[86],"generator":[88],"during":[89],"training.":[92],"evaluation":[94],"results":[95],"show":[96],"that":[97,110],"proposed":[99],"can":[101],"with":[105],"clearer":[106],"classifications":[107],"distributions":[109],"more":[112],"similar":[113],"real":[116],"data,":[117],"resulting":[118],"obvious":[120],"improvements":[121],"EEG-based":[123]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
