{"id":"https://openalex.org/W2735990374","doi":"https://doi.org/10.1109/ijcnn.2017.7966244","title":"Comprehensive study of features for subject-independent emotion recognition","display_name":"Comprehensive study of features for subject-independent emotion recognition","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735990374","doi":"https://doi.org/10.1109/ijcnn.2017.7966244","mag":"2735990374"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5031536925","display_name":"Aldrin Ashutosh","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Ashutosh","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"R. Savitha","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"R. Savitha","raw_affiliation_strings":["Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":null,"display_name":"S. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"S. Suresh","raw_affiliation_strings":["School of computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031536925"],"corresponding_institution_ids":["https://openalex.org/I98389781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08547284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"3114","last_page":"3121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.984499990940094,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7735291123390198},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7687145471572876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7267768383026123},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6939904689788818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500141620635986},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5861536860466003},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5354578495025635},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5353658199310303},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4996654987335205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3455151319503784},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.262687623500824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08889129757881165}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7735291123390198},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7687145471572876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7267768383026123},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6939904689788818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500141620635986},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5861536860466003},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5354578495025635},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5353658199310303},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4996654987335205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3455151319503784},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.262687623500824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08889129757881165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W320943454","https://openalex.org/W1485280399","https://openalex.org/W1565746575","https://openalex.org/W1689644917","https://openalex.org/W1826272299","https://openalex.org/W1965037862","https://openalex.org/W1968930420","https://openalex.org/W1991672566","https://openalex.org/W1995925293","https://openalex.org/W1996711358","https://openalex.org/W2022673907","https://openalex.org/W2030562279","https://openalex.org/W2030842930","https://openalex.org/W2050472765","https://openalex.org/W2052873478","https://openalex.org/W2063836598","https://openalex.org/W2095353336","https://openalex.org/W2096044434","https://openalex.org/W2098305432","https://openalex.org/W2098693229","https://openalex.org/W2101176070","https://openalex.org/W2106115875","https://openalex.org/W2115247131","https://openalex.org/W2115941714","https://openalex.org/W2116801843","https://openalex.org/W2124386111","https://openalex.org/W2134249892","https://openalex.org/W2136417887","https://openalex.org/W2141804730","https://openalex.org/W2145310492","https://openalex.org/W2149454242","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2154716422","https://openalex.org/W2155731578","https://openalex.org/W2162280462","https://openalex.org/W2163352848","https://openalex.org/W2165580920","https://openalex.org/W2172279486","https://openalex.org/W2295001676","https://openalex.org/W2984822303","https://openalex.org/W2997674406","https://openalex.org/W4242398081","https://openalex.org/W4285719527","https://openalex.org/W6611151283","https://openalex.org/W6628911976","https://openalex.org/W6633774736","https://openalex.org/W6675224631","https://openalex.org/W6677040099","https://openalex.org/W6677267524","https://openalex.org/W6678135826","https://openalex.org/W6682496738"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2172196609","https://openalex.org/W2583894904","https://openalex.org/W1990254706","https://openalex.org/W2404514746","https://openalex.org/W1843372508","https://openalex.org/W2510961579","https://openalex.org/W1487808658"],"abstract_inverted_index":{"In":[0,135],"this":[1,188,206,222],"paper,":[2],"we":[3],"conduct":[4,105],"a":[5,101,106],"comprehensive":[6],"study":[7,109],"to":[8,19,49,99,148],"identify":[9],"the":[10,16,35,40,46,53,56,69,75,82,94,115,123,127,143,159,165,168,172,177,193,196,199,203,212,219],"most":[11,178],"discriminative":[12,179],"features":[13,51,64,162,169],"that":[14,158,211],"address":[15],"interpersonal":[17],"variability":[18],"perform":[20,149],"efficient":[21],"human":[22],"emotion":[23,150],"recognition":[24,151],"task.":[25],"We":[26,104,190],"consider":[27],"three":[28],"commonly":[29],"used":[30,98,140],"feature":[31,91,129,137,144,180],"extraction":[32,145],"techniques,":[33],"namely,":[34],"Local":[36],"Binary":[37],"Patterns":[38],"(LBP),":[39],"Scale-Invariant":[41],"Feature":[42],"Transform":[43],"(SIFT)":[44],"and":[45,81,93,131],"curvelet":[47],"transforms":[48],"extract":[50],"from":[52,171],"images":[54],"on":[55,114,167],"JAFFE":[57,116],"data":[58,117],"set.":[59,118],"A":[60,182],"subset":[61,160],"of":[62,122,161,195],"these":[63],"is":[65,155,176],"then":[66,97],"selected":[67,163],"using":[68,164],"Double":[70],"Input":[71],"Symmetrical":[72],"Relevance":[73,86],"(DISR),":[74],"Conditional":[76],"Mutual":[77],"Information":[78],"Maximization":[79],"(CMIM)":[80],"minimum":[83],"Redundancy":[84],"maximum":[85],"(mRMR)":[87],"methods.":[88],"The":[89,119],"original":[90],"sets":[92,130],"subsets":[95,132],"are":[96,133],"train":[100],"PBL-McRBFN":[102,124],"classifier.":[103],"subject":[107],"independent":[108],"with":[110,126,142,198],"10":[111],"cross":[112],"validations":[113],"average":[120],"performance":[121,194],"classifier":[125],"different":[128],"compared.":[134],"general,":[136],"selection":[138],"methods":[139,217],"along":[141],"techniques":[146],"help":[147],"more":[152],"efficiently.":[153],"It":[154],"also":[156,186,191],"observed":[157],"mRMR":[166],"extracted":[170],"SIFT":[173],"technique":[174],"(SIFT+mRMR+PBL-McRBFN)":[175],"subset.":[181],"statistical":[183],"paired":[184],"t-test":[185],"ascertains":[187],"observation.":[189],"compare":[192],"SIFT+mRMR+PBL-McRBFN":[197,213],"other":[200,215],"results":[201],"in":[202,218],"literature":[204,220],"for":[205,221],"problem.":[207,223],"Performance":[208],"comparison":[209],"shows":[210],"outperforms":[214],"state-of-the-art":[216]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}