{"id":"https://openalex.org/W4394731467","doi":"https://doi.org/10.1145/3647817.3647826","title":"Analysis of Arousal and Valence Based on EEG signals: Research on Emotional Analysis","display_name":"Analysis of Arousal and Valence Based on EEG signals: Research on Emotional Analysis","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394731467","doi":"https://doi.org/10.1145/3647817.3647826"},"language":"en","primary_location":{"id":"doi:10.1145/3647817.3647826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647817.3647826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Bioinformatics and Biomedical Science","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/A5025863442","display_name":"Ke Chen","orcid":"https://orcid.org/0009-0005-0989-4527"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Chen","raw_affiliation_strings":["School of Future Technologies, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Future Technologies, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025863442"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.2616,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63474811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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/T12496","display_name":"Color perception and design","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T13289","display_name":"Infant Health and Development","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.77611243724823},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.6975155472755432},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6957594752311707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4984428882598877},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4368155896663666},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4089144468307495},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.12680122256278992},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10391232371330261},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08554479479789734}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.77611243724823},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6975155472755432},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6957594752311707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4984428882598877},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4368155896663666},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4089144468307495},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.12680122256278992},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10391232371330261},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08554479479789734},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647817.3647826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647817.3647826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Bioinformatics and Biomedical Science","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":7,"referenced_works":["https://openalex.org/W1985258161","https://openalex.org/W2002055708","https://openalex.org/W2165857685","https://openalex.org/W2321055424","https://openalex.org/W2625929003","https://openalex.org/W4236533540","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W2085024878"],"abstract_inverted_index":{"The":[0,130],"research":[1,155],"on":[2,126,140],"emotional":[3],"analysis":[4],"of":[5,84],"electroencephalogram":[6],"(EEG)":[7],"is":[8,20,76,107,123],"attracting":[9],"increasing":[10],"attention.":[11],"In":[12],"this":[13,43,46,71],"study,":[14],"the":[15,23,49,73,82,94,103,111,115,127],"public":[16],"data":[17,51,74,95],"set":[18,75],"DEAP":[19,50],"selected,":[21],"and":[22,32,53,56,66,81,87,118,120,133,142,144,154],"emotion":[24],"will":[25],"be":[26],"analyzed":[27,92],"from":[28,60],"two":[29],"levels:":[30],"arousal":[31,116,141],"valence,":[33,119,143],"so":[34],"as":[35],"to":[36,41,109],"provide":[37],"a":[38,121,151],"better":[39],"perspective":[40,153],"study":[42,47],"field.":[44],"Firstly,":[45],"preprocesses":[48],"set,":[52],"then":[54],"draws":[55],"analyzes":[57],"EEG":[58],"signals":[59],"different":[61,64,67],"frequency":[62,85,131],"bands,":[63],"leads":[65],"brain":[68,88,134],"regions.":[69],"On":[70],"basis,":[72],"classified":[77],"into":[78],"four":[79],"categories,":[80],"characteristics":[83,99],"band":[86,132],"region":[89,135],"are":[90],"further":[91],"for":[93,157],"with":[96],"more":[97],"obvious":[98],"after":[100],"categorization.":[101],"Finally,":[102],"machine":[104],"learning":[105],"method":[106],"used":[108],"predict":[110],"factors":[112],"that":[113,136],"affect":[114],"degree":[117],"conclusion":[122],"drawn":[124],"based":[125],"previous":[128],"discussion.":[129],"have":[137],"great":[138],"influence":[139],"their":[145],"relationship":[146],"were":[147],"found,":[148],"which":[149],"provided":[150],"valuable":[152],"direction":[156],"follow-up":[158],"research.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}