{"id":"https://openalex.org/W4313527457","doi":"https://doi.org/10.1109/bibm55620.2022.9994936","title":"Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation","display_name":"Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527457","doi":"https://doi.org/10.1109/bibm55620.2022.9994936"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994936","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004224895","display_name":"Gengyuan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengyuan Guo","raw_affiliation_strings":["Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016707754","display_name":"Pengzhi Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengzhi Gao","raw_affiliation_strings":["Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049974611","display_name":"Xiangwei Zheng","orcid":"https://orcid.org/0000-0003-4873-4567"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangwei Zheng","raw_affiliation_strings":["Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066754863","display_name":"Cun Ji","orcid":"https://orcid.org/0000-0002-3326-6572"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cun Ji","raw_affiliation_strings":["Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University State Key Laboratory of High-end Server &#x0026; Storage Technology,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3008","last_page":"3014"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9850999712944031,"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/support-vector-machine","display_name":"Support vector machine","score":0.7565039396286011},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7498106956481934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175413370132446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495169401168823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5747108459472656},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.46648696064949036},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4509720504283905},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4332788288593292},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41154593229293823}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7565039396286011},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7498106956481934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175413370132446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495169401168823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5747108459472656},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.46648696064949036},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4509720504283905},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4332788288593292},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41154593229293823},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9994936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994936","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2078671978","https://openalex.org/W2122098299","https://openalex.org/W2773877055","https://openalex.org/W2786768213","https://openalex.org/W2808522083","https://openalex.org/W2880583584","https://openalex.org/W2889505988","https://openalex.org/W2891399311","https://openalex.org/W2968915073","https://openalex.org/W2991465589","https://openalex.org/W2999294457","https://openalex.org/W3007032699","https://openalex.org/W3016333104","https://openalex.org/W3028859075","https://openalex.org/W3046474724","https://openalex.org/W4285141067"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2733753409","https://openalex.org/W2104657898","https://openalex.org/W2740144240","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789"],"abstract_inverted_index":{"With":[0],"the":[1,27,72,84,103,107,116,120,125,130,138,161,174,177,181],"development":[2],"of":[3,30,87,106,119,163,176],"human-computer":[4],"interaction":[5],"and":[6,49,59,75,99,123,149,154,165,171,185,189],"mobile":[7,80],"sensors,":[8],"emotion":[9,45],"recognition":[10,46,139],"based":[11],"on":[12,71],"physiological":[13,121],"signals":[14],"has":[15],"aroused":[16],"a":[17,43],"lively":[18],"discussion":[19],"among":[20],"scholars.":[21],"The":[22,141],"main":[23],"difficulty":[24],"faced":[25],"is":[26,91,112,167],"small":[28],"amount":[29],"data":[31,50,89,178],"which":[32,67],"leads":[33],"to":[34,114,136],"poor":[35],"training":[36,85],"results.":[37,140],"In":[38],"this":[39],"paper,":[40],"we":[41],"proposed":[42],"multimodal":[44],"using":[47],"CNN-SVM":[48],"augmentation":[51,90,179],"(CSDAMER).":[52],"Electrocardiography":[53],"(ECG),":[54],"galvanic":[55],"skin":[56],"response":[57],"(GSR)":[58],"respiration":[60],"(RSP)":[61],"are":[62,68,127],"utilized":[63],"as":[64,96],"input":[65,128],"data,":[66],"less":[69],"requiring":[70],"collection":[73],"environment":[74],"can":[76],"be":[77],"collected":[78],"by":[79,93,169,187],"sensors.":[81],"To":[82],"improve":[83],"effect":[86],"model,":[88],"performed":[92],"transformations,":[94],"such":[95],"inversion,":[97],"recombination":[98],"noise":[100],"injection.":[101],"Moreover,":[102],"convolutional":[104,108],"layer":[105],"neural":[109],"network":[110],"(CNN)":[111],"leveraged":[113],"extract":[115],"high-level":[117],"features":[118,126],"signals,":[122],"then":[124],"into":[129],"support":[131],"vector":[132],"machine":[133],"(SVM)":[134],"classifier":[135],"obtain":[137],"experimental":[142],"results":[143],"show":[144],"that":[145],"CSDAMER":[146],"achieves":[147],"80.7%":[148],"79.92%":[150],"accuracy":[151,162,182],"in":[152,183],"arousal":[153,164,184],"valance,":[155],"respectively.":[156],"Compared":[157],"with":[158],"CNN":[159],"alone,":[160],"valance":[166,186],"increased":[168],"12.87%":[170],"9.95%.":[172],"Meanwhile,":[173],"addition":[175],"improves":[180],"21.94%":[188],"25.73%.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
