{"id":"https://openalex.org/W4392254170","doi":"https://doi.org/10.1145/3639479.3639512","title":"Experimental design of emotion recognition based on machine learning","display_name":"Experimental design of emotion recognition based on machine learning","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4392254170","doi":"https://doi.org/10.1145/3639479.3639512"},"language":"en","primary_location":{"id":"doi:10.1145/3639479.3639512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639479.3639512","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 6th International Conference on Machine Learning and Natural Language Processing","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/A5101548272","display_name":"Jintao Yu","orcid":"https://orcid.org/0009-0004-1311-7053"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jintao Yu","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067451552","display_name":"Mingze Jiang","orcid":"https://orcid.org/0009-0002-0927-9653"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingze Jiang","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092355539","display_name":"Tingwei Liang","orcid":"https://orcid.org/0009-0007-3919-776X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingwei Liang","raw_affiliation_strings":["School of Astronautic, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautic, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101548272"],"corresponding_institution_ids":["https://openalex.org/I41208885"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21189055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7394999861717224,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7394999861717224,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7218000292778015,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.6916000247001648,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.778549313545227},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6199886202812195},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5934387445449829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926474928855896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.59104984998703},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5514916181564331},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46429643034935},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4619392156600952},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43413257598876953},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.430184543132782},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3849684000015259},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3839617967605591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.172029048204422}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.778549313545227},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6199886202812195},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5934387445449829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926474928855896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.59104984998703},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5514916181564331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46429643034935},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4619392156600952},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43413257598876953},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.430184543132782},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3849684000015259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3839617967605591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.172029048204422},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639479.3639512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639479.3639512","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 6th International Conference on Machine Learning and Natural Language Processing","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":2,"referenced_works":["https://openalex.org/W2543211009","https://openalex.org/W4207082448"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4388119537","https://openalex.org/W4281646320","https://openalex.org/W3169687406","https://openalex.org/W3200811867","https://openalex.org/W3128602280","https://openalex.org/W3192751261","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2382436519"],"abstract_inverted_index":{"In":[0],"this":[1,97,156],"paper,":[2],"a":[3,90,100,111],"wrist":[4],"bracelet":[5],"was":[6,60,174,183,199,244,253,269],"used":[7],"to":[8,43,78,136],"measure":[9],"the":[10,48,51,55,67,116,120,143,167,176,186,202,211,221,237,246,256],"subjects'":[11,87],"heart":[12,36,180,194,215,229,250,264],"rate":[13,37,181,195,216,230,251,265],"signals":[14,41],"and":[15,19,26,38,50,66,106,131,146,185,193,220,228,255,263],"skin":[16,39,171,190,206,225,241,260],"electrical":[17,40,172,191,207,226,242,261],"signals,":[18],"three":[20,56],"types":[21,57],"of":[22,54,58,114,150,170,179,189,205,214,224,240,249,259],"emotions":[23,44,59,88],"(positive,":[24],"neutral":[25],"negative)":[27],"were":[28,45,153,165],"induced":[29],"by":[30,162],"designing":[31],"an":[32,80],"experimental":[33,81,159],"environment.":[34],"The":[35,158],"corresponding":[42],"collected":[46],"through":[47,63,110],"bracelet,":[49],"recognition":[52,103,168,177,187,203,212,222,238,247,257],"accuracy":[53,169,178,188,204,213,223,239,248,258],"finally":[61],"obtained":[62,161],"data":[64],"preprocessing":[65],"support":[68,121],"vector":[69,122],"machine":[70,73,123],"model":[71,164],"in":[72,93,119,155],"learning.":[74],"At":[75],"present,":[76],"how":[77],"build":[79],"environment":[82,104],"that":[83],"can":[84],"fully":[85],"induce":[86],"is":[89,129,134,209,218,234],"major":[91],"difficulty":[92],"emotion":[94,102],"recognition,":[95],"so":[96],"paper":[98],"provides":[99],"specific":[101],"design":[105],"detailed":[107],"steps.":[108],"Meanwhile,":[109],"large":[112],"number":[113],"experiments,":[115],"kernel":[117,127],"function":[118],"model,":[124],"namely":[125],"Gaussian":[126],"function,":[128],"determined,":[130],"grid":[132],"search":[133,137],"introduced":[135],"for":[138],"hyperparameter":[139],"C.":[140],"To":[141],"get":[142],"optimal":[144],"parameters":[145],"results.":[147],"A":[148],"total":[149],"20":[151],"people":[152],"measured":[154],"experiment.":[157],"results":[160],"SVM":[163],"positive:":[166],"signal":[173,182,192,196,208,217,227,231,243,252,262,266],"0.8422,":[175],"0.8345,":[184],"feature":[197,232,267],"fusion":[198,233,268],"0.8832.":[200],"Negative:":[201],"0.9812,":[210],"0.9385,":[219],"0.9902.":[235],"Neutral:":[236],"0.6403,":[245],"0.5308,":[254],"0.5438":[270]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}