{"id":"https://openalex.org/W3003302592","doi":"https://doi.org/10.1109/globalsip45357.2019.8969360","title":"Extracting Audio-Visual Features for Emotion Recognition Through Active Feature Selection","display_name":"Extracting Audio-Visual Features for Emotion Recognition Through Active Feature Selection","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3003302592","doi":"https://doi.org/10.1109/globalsip45357.2019.8969360","mag":"3003302592"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043348303","display_name":"Fasih Haider","orcid":"https://orcid.org/0000-0002-5150-3359"},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fasih Haider","raw_affiliation_strings":["The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","institution_ids":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"raw_affiliation_string":"Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074881863","display_name":"Senja Pollak","orcid":"https://orcid.org/0000-0002-4380-0863"},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Senja Pollak","raw_affiliation_strings":["The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","institution_ids":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"raw_affiliation_string":"Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022266074","display_name":"Pierre Albert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pierre Albert","raw_affiliation_strings":["The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","institution_ids":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"raw_affiliation_string":"Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060851208","display_name":"Saturnino Luz","orcid":"https://orcid.org/0000-0001-8430-7875"},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saturnino Luz","raw_affiliation_strings":["The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh,Usher Institute, Edinburgh Medical School,Edinburgh,UK","institution_ids":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"raw_affiliation_string":"Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043348303"],"corresponding_institution_ids":["https://openalex.org/I4210164624","https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.4059,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70625159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"5"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9939000010490417,"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/T11309","display_name":"Music and Audio Processing","score":0.9840999841690063,"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/computer-science","display_name":"Computer science","score":0.7465873956680298},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7335536479949951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103777289390564},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5991917848587036},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5949185490608215},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5900524854660034},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5578189492225647},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4795081913471222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4679955840110779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46728429198265076},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45622923970222473},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4267895519733429}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465873956680298},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7335536479949951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103777289390564},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5991917848587036},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5949185490608215},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5900524854660034},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5578189492225647},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4795081913471222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4679955840110779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46728429198265076},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45622923970222473},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4267895519733429},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Haider, F, Pollak, S, Albert, P & Luz, S 2019, Extracting audio-visual features for emotion recognition through active feature selection. in 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) . https://doi.org/10.1109/GlobalSIP45357.2019.8969360","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8969360/authors#authors","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"mag:3034781221","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002277498853783","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/eae51af3-60ec-4a3b-80cd-18a10caf5e8a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Haider, F, Pollak, S, Albert, P & Luz, S 2019, Extracting audio-visual features for emotion recognition through active feature selection. in 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) . https://doi.org/10.1109/GlobalSIP45357.2019.8969360","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W1963945289","https://openalex.org/W1999772635","https://openalex.org/W2008887256","https://openalex.org/W2026131661","https://openalex.org/W2046079134","https://openalex.org/W2074788634","https://openalex.org/W2082927806","https://openalex.org/W2097900616","https://openalex.org/W2104606180","https://openalex.org/W2105172958","https://openalex.org/W2128728535","https://openalex.org/W2133269263","https://openalex.org/W2137639365","https://openalex.org/W2239141610","https://openalex.org/W2293804193","https://openalex.org/W2395771449","https://openalex.org/W2396065069","https://openalex.org/W2442608353","https://openalex.org/W2549149766","https://openalex.org/W2562383591","https://openalex.org/W2746941951","https://openalex.org/W2767618761","https://openalex.org/W2767728779","https://openalex.org/W2783043661","https://openalex.org/W2888683367","https://openalex.org/W2889338631","https://openalex.org/W2894737002","https://openalex.org/W2895006884","https://openalex.org/W2911057304","https://openalex.org/W2938274889","https://openalex.org/W2945589395","https://openalex.org/W2963252191","https://openalex.org/W3033211044","https://openalex.org/W4247978015","https://openalex.org/W6629652716","https://openalex.org/W6641192170"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W3176621072","https://openalex.org/W2281498195","https://openalex.org/W2506504620","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W20047544","https://openalex.org/W4386564352","https://openalex.org/W3045078934","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Research":[0],"in":[1,40,101,187,209],"automatic":[2],"emotion":[3,99],"recognition":[4,100],"has":[5],"seldom":[6],"addressed":[7],"the":[8,15,38,41,54,102,144,154,178,192,199,219],"issue":[9,30],"of":[10,17,24,43,119,128,135,191,202],"computational":[11],"resource":[12,26],"utilisation.":[13],"With":[14],"advent":[16],"ambient":[18],"technology,":[19],"which":[20,79],"employs":[21],"a":[22,184],"variety":[23],"low-power,":[25],"constrained":[27],"devices,":[28],"this":[29,62],"is":[31,36,106,166,196],"increasingly":[32],"gaining":[33],"interest.":[34],"This":[35,84],"especially":[37],"case":[39],"context":[42],"health":[44,82],"and":[45,132,158,215,223],"elderly":[46],"care":[47],"technologies,":[48,78],"where":[49],"interventions":[50],"aim":[51],"at":[52],"maintaining":[53],"user's":[55],"independence":[56],"as":[57,59,74],"unobtrusively":[58],"possible.":[60],"In":[61],"context,":[63],"efforts":[64],"are":[65,181],"being":[66],"made":[67],"to":[68,213],"model":[69],"human":[70],"social":[71],"signals":[72],"such":[73],"affects":[75],"using":[76,93],"low-cost":[77],"can":[80],"aid":[81],"monitoring.":[83],"paper":[85],"presents":[86],"an":[87,210],"Active":[88],"Feature":[89],"Selection":[90],"(AFS)":[91],"method":[92],"self-organized":[94],"maps":[95],"neural":[96],"networks":[97],"for":[98,108,124,130,137,198],"wild.":[103],"The":[104,140,163,204],"AFS":[105,149],"used":[107],"feature":[109,115,156,194],"subsets":[110,146],"selection":[111],"from":[112],"three":[113],"different":[114],"sets:":[116],"62":[117],"out":[118,127,134],"88":[120],"features":[121,145],"were":[122],"selected":[123,147],"eGeMAPs,":[125],"21":[126],"988":[129],"emobase,":[131],"140":[133],"2832":[136],"LBPTOP":[138],"features.":[139],"results":[141,152,180,208],"show":[142],"that":[143],"by":[148,172],"provide":[150],"better":[151],"than":[153],"entire":[155],"set":[157,195],"PCA":[159],"dimensionality":[160,188],"reduction":[161,186],"method.":[162],"best":[164],"improvement":[165],"observed":[167],"on":[168,218],"emobase":[169],"features,":[170,176],"followed":[171],"eGeMAPs.":[173],"For":[174],"visual":[175],"nearly":[177],"same":[179,200],"obtained":[182],"with":[183],"significant":[185],"(only":[189],"5%":[190],"full":[193],"required":[197],"level":[201],"accuracy).":[203],"weighted":[205],"score":[206],"fusion":[207],"improvement,":[211],"leading":[212],"43.40%":[214],"40.12%":[216],"accuracies":[217],"EmotiW":[220],"2018":[221],"validation":[222],"test":[224],"datasets":[225],"respectively.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
