{"id":"https://openalex.org/W4400116811","doi":"https://doi.org/10.1145/3665689.3665749","title":"A study of emotion recognition methods incorporating functional brain network features and self-attention mechanisms","display_name":"A study of emotion recognition methods incorporating functional brain network features and self-attention mechanisms","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4400116811","doi":"https://doi.org/10.1145/3665689.3665749"},"language":"en","primary_location":{"id":"doi:10.1145/3665689.3665749","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665689.3665749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing","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":null,"display_name":"Ye Zhang","orcid":"https://orcid.org/0009-0000-4571-3344"},"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":"Ye Zhang","raw_affiliation_strings":["The school of Computer Science and Technology, Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-4571-3344","affiliations":[{"raw_affiliation_string":"The school of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350202","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-2716-449X"},"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":["The school of Computer Science and Technology, Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-2716-449X","affiliations":[{"raw_affiliation_string":"The school of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101401792","display_name":"Yulong Liu","orcid":"https://orcid.org/0000-0001-5212-6076"},"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":"Yulong Liu","raw_affiliation_strings":["The school of Computer Science and Technology, Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5212-6076","affiliations":[{"raw_affiliation_string":"The school of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11756547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9915000200271606,"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/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6794221997261047},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5568201541900635},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.48936599493026733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4185495376586914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37120163440704346},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.36264359951019287},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2852817177772522},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.25128602981567383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794221997261047},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5568201541900635},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.48936599493026733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4185495376586914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37120163440704346},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36264359951019287},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2852817177772522},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.25128602981567383}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665689.3665749","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665689.3665749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2153635508","https://openalex.org/W3034882503","https://openalex.org/W3043841226","https://openalex.org/W3189300284"],"related_works":["https://openalex.org/W4318998028","https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2536562190","https://openalex.org/W2951359407","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,12,16,23,51,63,72,83,87,96,100,105,111,116,126,135,138],"problem":[3],"that":[4,37,134],"a":[5,77],"single":[6],"feature":[7,54,59,78,88,117,152],"is":[8,46,90,123],"insufficient":[9],"to":[10,30,61,75,114],"characterize":[11],"emotional":[13],"information":[14,31,65,97],"in":[15,125,142],"emotion":[17,34,120],"classification":[18,35,144,159],"of":[19,25,67,137],"EEG":[20],"data,":[21],"while":[22],"fusion":[24,79,140,153],"multiple":[26],"features":[27,42],"will":[28],"lead":[29],"redundancy,":[32],"an":[33],"method":[36,49,141,156],"fuses":[38],"brain":[39,68],"functional":[40],"network":[41],"and":[43,56,70,108,164],"self-attention":[44,73,146],"mechanism":[45,74],"proposed.":[47],"The":[48,130],"introduces":[50],"median":[52],"centrality":[53],"(BC)":[55],"clustering":[57],"coefficient":[58],"(CC)":[60],"enhance":[62],"spatial":[64],"representation":[66],"regions;":[69],"uses":[71,110],"establish":[76],"model,":[80],"through":[81,145],"which":[82,92,122],"hidden":[84],"relationship":[85],"within":[86],"sequence":[89],"increased,":[91],"not":[93],"only":[94],"highlights":[95],"coupling":[98],"between":[99],"channels":[101],"but":[102],"also":[103],"weakens":[104],"interfering":[106],"information;":[107],"then":[109],"SVM":[112],"classifier":[113],"classify":[115],"vectors":[118],"for":[119],"classification,":[121],"validated":[124],"DEAP":[127],"dataset.":[128],"Validation.":[129],"experimental":[131],"results":[132],"show":[133],"accuracy":[136],"multi-feature":[139],"sentiment":[143],"reaches":[147],"85.13%.":[148],"Compared":[149],"with":[150],"previous":[151],"methods,":[154],"this":[155],"has":[157],"better":[158],"effect,":[160],"proving":[161],"its":[162],"effectiveness":[163],"feasibility.":[165]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
