乐胖代购免代理版

{"id":"https://openalex.org/W3090385165","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207280","title":"A Long Short Term Memory Deep Learning Network for the Classification of Negative Emotions Using EEG Signals","display_name":"A Long Short Term Memory Deep Learning Network for the Classification of Negative Emotions Using EEG Signals","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090385165","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207280","mag":"3090385165"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207280","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5057104617","display_name":"Divya Acharya","orcid":"https://orcid.org/0000-0003-0206-6428"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Acharya","raw_affiliation_strings":["Computer Science Engineering, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906310","display_name":"Shivani Goel","orcid":"https://orcid.org/0000-0001-7099-5400"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shivani Goel","raw_affiliation_strings":["Computer Science Engineering, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003304299","display_name":"Harshit Bhardwaj","orcid":"https://orcid.org/0000-0001-9184-5073"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshit Bhardwaj","raw_affiliation_strings":["Computer Science Engineering, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039186971","display_name":"Aditi Sakalle","orcid":"https://orcid.org/0000-0003-1556-8937"},"institutions":[{"id":"https://openalex.org/I72769676","display_name":"Gautam Buddha University","ror":"https://ror.org/026cfwd52","country_code":"IN","type":"education","lineage":["https://openalex.org/I72769676"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditi Sakalle","raw_affiliation_strings":["Computer Science Engineering, Gautam Buddha University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering, Gautam Buddha University, Greater Noida, India","institution_ids":["https://openalex.org/I72769676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040631655","display_name":"Arpit Bhardwaj","orcid":"https://orcid.org/0000-0002-0440-7313"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpit Bhardwaj","raw_affiliation_strings":["Computer Science Engineering, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.461,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.895671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998,"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":0.9998,"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":0.9996,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9916,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7534739},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.74273384},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6633438},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.65006167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.54224503},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.54192567},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46337974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39110136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35011473},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2121262},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.11695978},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.079357624}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207280","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.62,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1941755770","https://openalex.org/W1947251450","https://openalex.org/W1970708652","https://openalex.org/W1980121234","https://openalex.org/W1988484949","https://openalex.org/W2002055708","https://openalex.org/W2011170389","https://openalex.org/W2064044177","https://openalex.org/W2132889650","https://openalex.org/W2167557160","https://openalex.org/W2404604259","https://openalex.org/W2507306959","https://openalex.org/W2804824909","https://openalex.org/W2886300652","https://openalex.org/W2891321141","https://openalex.org/W2995047828","https://openalex.org/W3010451134","https://openalex.org/W3010483354","https://openalex.org/W3091860120"],"related_works":["https://openalex.org/W4225593417","https://openalex.org/W410723623","https://openalex.org/W3160494304","https://openalex.org/W2573498121","https://openalex.org/W2413243053","https://openalex.org/W2118717649","https://openalex.org/W2059783833","https://openalex.org/W2035068594","https://openalex.org/W2032664813","https://openalex.org/W2015341305"],"abstract_inverted_index":{"In":[0,172],"cognitive":[1],"science":[2],"and":[3,82,106,143,149,153,170],"human-computer":[4],"interaction,":[5],"automatic":[6],"human":[7,76],"emotion":[8,129],"recognition":[9,130],"using":[10,24,47,117],"physiological":[11],"stimuli":[12],"is":[13,56,72,158],"a":[14,35],"key":[15],"technology.":[16],"This":[17,32],"research":[18],"considers":[19],"classification":[20,60,113,137],"of":[21,53,62,78,89,114,127,155,180,183],"negative":[22,115,128],"emotions":[23,46,116],"EEG":[25,48,167],"signals":[26,179],"in":[27],"response":[28],"to":[29,44,57,73,164,200],"emotional":[30,189],"clips.":[31],"paper":[33],"introduces":[34],"long":[36],"short":[37],"term":[38],"memory":[39],"deep":[40,109,133],"learning":[41,110,134],"(LSTM)":[42],"network":[43],"recognize":[45],"signals.":[49,119],"The":[50,69,120],"primary":[51],"goal":[52,71],"this":[54,156],"approach":[55,157,163],"assess":[58,74],"the":[59,63,75,87,175,187],"performance":[61,88],"LSTM":[64,107,131],"model":[65,111,135],"for":[66,112,124,145],"classifying":[67],"emotions.":[68],"secondary":[70],"behavior":[77],"different":[79],"age":[80,184],"groups":[81],"genders.":[83],"We":[84],"have":[85],"compared":[86,199],"Multilayer":[90],"Perceptron":[91],"(MLP),":[92],"K-nearest":[93],"neighbors":[94],"(KNN),":[95],"Support":[96],"Vector":[97],"Machine":[98],"(SVM),":[99],"Deep":[100],"Belief":[101],"Network":[102],"based":[103,108,132],"SVM":[104],"(DBN-SVM),":[105],"brain":[118,178],"analysis":[121],"shows":[122],"that":[123],"four":[125],"class":[126],"provides":[136],"accuracy":[138],"as":[139,198],"81.63%,":[140],"84.64%,":[141],"89.73%,":[142],"92.84%":[144],"50-50,":[146],"60-40,":[147],"70-30,":[148],"10-fold":[150],"cross-validation.":[151],"Generalizability":[152],"reliability":[154],"evaluated":[159],"by":[160],"applying":[161],"our":[162],"publicly":[165],"available":[166],"dataset":[168],"DEAP":[169],"SEED.":[171],"compliance":[173],"with":[174],"self-reported":[176],"feelings,":[177],"26-35":[181],"years":[182],"group":[185],"provided":[186],"highest":[188],"identification.":[190],"Among":[191],"genders,":[192],"females":[193],"are":[194],"more":[195],"emotionally":[196],"active":[197],"males.":[201]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3090385165","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":2}],"updated_date":"2025-04-17T10:23:50.442519","created_date":"2020-10-08"}