{"id":"https://openalex.org/W2899953283","doi":"https://doi.org/10.1145/3271553.3271574","title":"Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using Local Binary Patterns and Markov Models","display_name":"Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using Local Binary Patterns and Markov Models","publication_year":2018,"publication_date":"2018-08-27","ids":{"openalex":"https://openalex.org/W2899953283","doi":"https://doi.org/10.1145/3271553.3271574","mag":"2899953283"},"language":"en","primary_location":{"id":"doi:10.1145/3271553.3271574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3271553.3271574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Vision, Image and Signal 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/A5040730797","display_name":"Kennedy Chengeta","orcid":null},"institutions":[{"id":"https://openalex.org/I95023434","display_name":"University of KwaZulu-Natal","ror":"https://ror.org/04qzfn040","country_code":"ZA","type":"education","lineage":["https://openalex.org/I95023434"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Kennedy Chengeta","raw_affiliation_strings":["University of KwaZulu-Natal, School of Computer Science and Mathematics, Westville Campus, Durban, South Africa"],"affiliations":[{"raw_affiliation_string":"University of KwaZulu-Natal, School of Computer Science and Mathematics, Westville Campus, Durban, South Africa","institution_ids":["https://openalex.org/I95023434"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040730797"],"corresponding_institution_ids":["https://openalex.org/I95023434"],"apc_list":null,"apc_paid":null,"fwci":0.2049,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61786568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6275725960731506},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6099573373794556},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6068807244300842},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5583034753799438},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5433228611946106},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5370292663574219},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4618360996246338},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.447772741317749},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4401928782463074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4317203760147095},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41869157552719116},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.3390958905220032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32559239864349365},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3255919814109802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20493575930595398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19869735836982727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14044064283370972},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.05660957098007202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6275725960731506},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6099573373794556},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6068807244300842},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5583034753799438},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5433228611946106},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5370292663574219},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4618360996246338},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.447772741317749},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4401928782463074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4317203760147095},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41869157552719116},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.3390958905220032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32559239864349365},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3255919814109802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20493575930595398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19869735836982727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14044064283370972},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.05660957098007202},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3271553.3271574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3271553.3271574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","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":20,"referenced_works":["https://openalex.org/W1974048020","https://openalex.org/W1996459352","https://openalex.org/W2074788634","https://openalex.org/W2081420711","https://openalex.org/W2095353336","https://openalex.org/W2116836390","https://openalex.org/W2131119629","https://openalex.org/W2162591825","https://openalex.org/W2162825184","https://openalex.org/W2550197462","https://openalex.org/W2750565068","https://openalex.org/W2761514455","https://openalex.org/W2766745135","https://openalex.org/W2789167349","https://openalex.org/W2803098682","https://openalex.org/W2803752747","https://openalex.org/W2805568747","https://openalex.org/W3097096317","https://openalex.org/W4239356691","https://openalex.org/W4255325693"],"related_works":["https://openalex.org/W3194078543","https://openalex.org/W4296131109","https://openalex.org/W1985641745","https://openalex.org/W3101572448","https://openalex.org/W2560935139","https://openalex.org/W2920026682","https://openalex.org/W2002825112","https://openalex.org/W2084282191","https://openalex.org/W2588937022","https://openalex.org/W2899953283"],"abstract_inverted_index":{"Emotion":[0],"detection":[1],"has":[2,81,103,141],"been":[3,83,104,118],"achieved":[4],"widely":[5],"in":[6,40,61,85,126],"facial":[7,37,49,59,63,130,176],"and":[8,29,45,65,163,179,185,195],"voice":[9],"recognition":[10,132,136,154,178,203],"separately":[11],"with":[12],"considerable":[13],"success.":[14],"The":[15,156,168],"6":[16],"emotional":[17,109,123,135,153,172],"categories":[18],"coming":[19],"out":[20],"of":[21,43,75,94,111,129,161,166,188],"the":[22,41,51,58,67,92,108,127,145,159,189,199],"classification":[23,74],"include":[24],"anger,":[25],"fear,":[26],"disgust,":[27],"happiness":[28],"surprise.":[30],"These":[31],"can":[32],"be":[33],"infered":[34],"from":[35],"one's":[36],"expressions":[38,50,60],"both":[39,162],"form":[42,128],"micro":[44],"macro":[46],"expressions.":[47],"In":[48],"emotions":[52],"are":[53],"derived":[54],"by":[55],"feature":[56,69],"extracting":[57],"different":[62],"poses":[64],"classifying":[66],"expression":[68,131,177],"vectors":[70],"derived.":[71],"Similarly":[72],"automatic":[73],"a":[76,98,112,186],"person's":[77],"speech's":[78],"affective":[79],"state":[80,110],"also":[82,164],"used":[84,105,120],"signal":[86],"processing":[87],"to":[88,106,121,148,192,198],"give":[89],"insights":[90],"into":[91],"nature":[93],"emotions.":[95],"Speech":[96],"being":[97,137],"critical":[99],"tool":[100],"for":[101],"communication":[102],"derive":[107,122],"human":[113],"being.":[114],"Different":[115],"approaches":[116,147],"have":[117],"successfully":[119],"states":[124],"either":[125],"or":[133,201],"speech":[134],"used.":[138],"Less":[139],"work":[140],"looked":[142],"at":[143],"fusing":[144],"two":[146,190],"see":[149],"if":[150],"this":[151],"improves":[152],"accuracy.":[155],"study":[157,169],"analyses":[158],"strengths":[160],"limitations":[165],"either.":[167],"reveals":[170],"that":[171],"derivation":[173],"based":[174],"on":[175],"acoustic":[180,202],"information":[181],"complement":[182],"each":[183],"other":[184],"fusion":[187],"leads":[191],"better":[193],"performance":[194],"results":[196],"compared":[197],"audio":[200],"alone.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
