{"id":"https://openalex.org/W4226535166","doi":"https://doi.org/10.1145/3502871.3502895","title":"Improving The Classification Accuracy of Negative Emotions Based on Multiple Physiological Signals Using A Novel Information Fusion Method FWBP","display_name":"Improving The Classification Accuracy of Negative Emotions Based on Multiple Physiological Signals Using A Novel Information Fusion Method FWBP","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W4226535166","doi":"https://doi.org/10.1145/3502871.3502895"},"language":"en","primary_location":{"id":"doi:10.1145/3502871.3502895","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502871.3502895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Biomedical and Bioinformatics Engineering","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/A5077028256","display_name":"Jianhang Liang","orcid":null},"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":"Jianhang Liang","raw_affiliation_strings":["College of Precision Instruments&amp;Optoelectronics Engineering, Tianjin University,, China"],"affiliations":[{"raw_affiliation_string":"College of Precision Instruments&amp;Optoelectronics Engineering, Tianjin University,, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319091","display_name":"Shuang Liu","orcid":"https://orcid.org/0000-0002-4372-8443"},"institutions":[{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]},{"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":false,"raw_author_name":"Shuang Liu","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University,, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University,, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045736119","display_name":"Minghao Du","orcid":"https://orcid.org/0000-0003-1894-6032"},"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"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Du","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University,, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University,, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065928035","display_name":"Feifan Yan","orcid":"https://orcid.org/0009-0000-0345-6036"},"institutions":[{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]},{"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":false,"raw_author_name":"Feifan Yan","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University,, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University,, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011769657","display_name":"Dong Ming","orcid":"https://orcid.org/0000-0002-8192-2538"},"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"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ming","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University,, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University,, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077028256"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.1753,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58475617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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":0.9653000235557556,"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/electroencephalography","display_name":"Electroencephalography","score":0.7161877751350403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586463451385498},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.6313393115997314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6303879022598267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5673584938049316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5545654296875},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5425969958305359},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5092328786849976},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4929790496826172},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4785761833190918},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43695706129074097},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20096775889396667},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12964478135108948},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12348136305809021}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7161877751350403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586463451385498},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.6313393115997314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6303879022598267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5673584938049316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5545654296875},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5425969958305359},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5092328786849976},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4929790496826172},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4785761833190918},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43695706129074097},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20096775889396667},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12964478135108948},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12348136305809021},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502871.3502895","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502871.3502895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Biomedical and Bioinformatics Engineering","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":15,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1989978397","https://openalex.org/W2002055708","https://openalex.org/W2091349671","https://openalex.org/W2164368909","https://openalex.org/W2222099799","https://openalex.org/W2790404832","https://openalex.org/W2941914178","https://openalex.org/W2952286992","https://openalex.org/W2960283727","https://openalex.org/W2998334740","https://openalex.org/W2999294457","https://openalex.org/W3003908700","https://openalex.org/W3174260483","https://openalex.org/W6658889521"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W1540261775","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,92,207],"is":[2,34,243],"crucial":[3],"in":[4,52,72,209,254],"the":[5,39,53,84,89,96,131,141,180,202,204,223,238],"field":[6],"of":[7,117,134,147],"medical":[8],"health":[9],"and":[10,27,125,144,155,164,241,249],"human-computer":[11],"interaction.":[12],"In":[13,56],"recent":[14],"years,":[15],"using":[16],"electroencephalogram":[17],"(EEG)":[18],"signals":[19,79,86,196],"to":[20,41,69,82,87,129,187,245],"identify":[21,42],"emotions":[22,44,59,146,206],"has":[23],"received":[24],"extensive":[25],"attention":[26],"gets":[28],"relatively":[29],"satisfying":[30],"results,":[31],"while":[32],"it":[33],"still":[35],"a":[36,65,107,118,122,126,172,251],"problem":[37],"that":[38,222],"ability":[40],"negative":[43,58,90,145,205],"was":[45,212],"limited":[46],"which":[47,115,193],"plays":[48],"an":[49],"important":[50],"role":[51],"practical":[54],"application.":[55],"addition,":[57],"were":[60,80,150,167],"rarely":[61],"taken":[62],"out":[63],"as":[64,113],"major":[66],"emotional":[67,153],"state":[68],"study.":[70],"Therefore,":[71],"this":[73,210,218],"paper,":[74],"4":[75],"peripheral":[76],"nervous":[77,189],"system":[78,190],"collected":[81],"assist":[83],"EEG":[85,195],"improve":[88],"emotion":[91,255],"rate":[93,208],"and,":[94],"unlike":[95],"previous":[97],"studies":[98],"based":[99],"on":[100],"one":[101],"information":[102,109,132,173,228],"fusion":[103,110,124,133,174,229,240],"method":[104,175,178,211,219],"alone,":[105],"proposed":[106],"novel":[108],"method,":[111],"termed":[112],"FWBP,":[114],"consists":[116],"weighted":[119],"decision":[120],"fusion,":[121],"feature":[123],"BP":[127,234],"network":[128,236],"achieve":[130,246],"5":[135],"physiological":[136],"signals.":[137],"To":[138],"do":[139],"this,":[140],"positive,":[142],"neutral":[143],"12":[148],"subjects":[149],"evoked":[151],"by":[152,183,214],"videos,":[154],"EEG,":[156],"electrodermal":[157],"activity":[158],"(EDA),":[159],"electrocardiogram":[160],"(ECG),":[161],"photoplethysmogram":[162],"(PPG)":[163],"respiration":[165],"(RSP)":[166],"recorded":[168],"simultaneously.":[169],"We":[170],"constructed":[171],"FWBP.":[176],"This":[177],"improved":[179],"mean":[181],"accuracy":[182],"about":[184,215],"6%":[185],"compared":[186,200],"central":[188],"model":[191],"(CNSM)":[192],"used":[194],"alone.":[197],"More":[198],"importantly,":[199],"with":[201],"CNSM,":[203],"increased":[213],"10%.":[216],"Furthermore,":[217],"also":[220],"proved":[221],"identification":[224],"results":[225],"from":[226],"multiple":[227],"methods":[230],"are":[231],"input":[232],"into":[233],"neural":[235],"for":[237],"second":[239],"classification":[242],"able":[244],"complementary":[247],"advantages":[248],"exhibit":[250],"better":[252],"performance":[253],"recognition.":[256]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
