{"id":"https://openalex.org/W3153181197","doi":"https://doi.org/10.34028/iajit/18/3/4","title":"Emotion Recognition based on EEG Signals in Response to Bilingual Music Tracks","display_name":"Emotion Recognition based on EEG Signals in Response to Bilingual Music Tracks","publication_year":2021,"publication_date":"2021-04-18","ids":{"openalex":"https://openalex.org/W3153181197","doi":"https://doi.org/10.34028/iajit/18/3/4","mag":"3153181197"},"language":"en","primary_location":{"id":"doi:10.34028/iajit/18/3/4","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/4","pdf_url":null,"source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34028/iajit/18/3/4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017608469","display_name":"Rida Zainab","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rida Zainab","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080542553","display_name":"Muhammad Majid","orcid":"https://orcid.org/0000-0003-3662-2525"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Majid","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017608469"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3984,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79069048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9922000169754028,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.735380232334137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7120175361633301},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6048510074615479},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.5473662614822388},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.5263755917549133},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.52181476354599},{"id":"https://openalex.org/keywords/urdu","display_name":"Urdu","score":0.49884843826293945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48566973209381104},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4851177930831909},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4605393409729004},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.45480602979660034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43103307485580444},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.41193723678588867},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2756858468055725},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21561205387115479},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07745236158370972}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.735380232334137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120175361633301},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6048510074615479},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.5473662614822388},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.5263755917549133},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.52181476354599},{"id":"https://openalex.org/C2777350258","wikidata":"https://www.wikidata.org/wiki/Q1617","display_name":"Urdu","level":2,"score":0.49884843826293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48566973209381104},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4851177930831909},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4605393409729004},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.45480602979660034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43103307485580444},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.41193723678588867},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2756858468055725},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21561205387115479},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07745236158370972},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.34028/iajit/18/3/4","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/4","pdf_url":null,"source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.34028/iajit/18/3/4","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/4","pdf_url":null,"source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1575023497","https://openalex.org/W1601905586","https://openalex.org/W1829924905","https://openalex.org/W2078671978","https://openalex.org/W2110444396","https://openalex.org/W2125956002","https://openalex.org/W2137721565","https://openalex.org/W2467010667","https://openalex.org/W2507306959","https://openalex.org/W2562547616","https://openalex.org/W2576433170","https://openalex.org/W2625297138","https://openalex.org/W2625929003","https://openalex.org/W2746986823","https://openalex.org/W2751703615","https://openalex.org/W2774728143","https://openalex.org/W2782211501","https://openalex.org/W2783519296","https://openalex.org/W2790404832","https://openalex.org/W2791361798","https://openalex.org/W2792192867","https://openalex.org/W2889782437","https://openalex.org/W2915622774","https://openalex.org/W2942438499","https://openalex.org/W2952066702","https://openalex.org/W2974550657","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3217110323","https://openalex.org/W4313203779","https://openalex.org/W3004377704","https://openalex.org/W2754510604","https://openalex.org/W3193301557","https://openalex.org/W2979979539","https://openalex.org/W4220663171","https://openalex.org/W2277857996","https://openalex.org/W4282601365","https://openalex.org/W3153181197"],"abstract_inverted_index":{"Emotions":[0],"are":[1,80,124],"vital":[2],"for":[3,112],"communication":[4],"in":[5,13,49,91],"daily":[6],"life":[7],"and":[8,24,47,54,66,68,78,94,103,121,159,173,179],"their":[9],"recognition":[10],"is":[11,110,117,133,163,184],"important":[12],"the":[14,128,156,180],"field":[15],"of":[16,59,71,99],"artificial":[17],"intelligence.":[18],"Music":[19],"help":[20],"evoking":[21],"human":[22,30],"emotions":[23,42],"brain":[25],"signals":[26,37],"can":[27],"effectively":[28],"describe":[29],"emotions.":[31],"This":[32],"study":[33],"utilized":[34],"Electroencephalography":[35],"(EEG)":[36],"to":[38,51,96,126,138],"recognize":[39,139],"four":[40],"different":[41],"namely":[43,167],"happy,":[44],"sad,":[45],"anger,":[46],"relax":[48],"response":[50],"bilingual":[52],"(English":[53],"Urdu)":[55],"music.":[56],"Five":[57],"genres":[58,70],"English":[60],"music":[61,73],"(rap,":[62],"rock,":[63],"hip-hop,":[64],"metal,":[65],"electronic)":[67],"five":[69],"Urdu":[72],"(ghazal,":[74],"qawwali,":[75],"famous,":[76],"melodious,":[77],"patriotic)":[79],"used":[81,111,135,178],"as":[82],"an":[83],"external":[84],"stimulus.":[85],"Twenty-seven":[86],"participants":[87],"consensually":[88],"took":[89],"part":[90],"this":[92],"experiment":[93],"listened":[95],"three":[97],"songs":[98],"two":[100],"minutes":[101],"each":[102],"also":[104],"recorded":[105],"self-assessments.":[106],"Muse":[107],"four-channel":[108],"headband":[109],"EEG":[113],"data":[114],"recording":[115],"that":[116,132,146],"commercially":[118],"available.":[119],"Frequency":[120],"time-domain":[122],"features":[123,148],"fused":[125],"construct":[127],"hybrid":[129,147],"feature":[130],"vector":[131],"further":[134],"by":[136],"classifiers":[137,166],"emotional":[140],"response.":[141],"It":[142],"has":[143],"been":[144,177],"observed":[145],"gave":[149],"better":[150],"results":[151],"than":[152],"individual":[153],"domains":[154],"while":[155],"most":[157],"common":[158],"easily":[160],"recognizable":[161],"emotion":[162],"happy.":[164],"Three":[165],"Multilayer":[168],"Perceptron":[169],"(MLP),":[170],"Random":[171],"Forest,":[172],"Hyper":[174,187],"Pipes":[175,188],"have":[176],"highest":[181],"accuracy":[182],"achieved":[183],"83.95%":[185],"with":[186],"classification":[189],"method.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}