{"id":"https://openalex.org/W2984820161","doi":"https://doi.org/10.1109/ssd.2019.8893159","title":"Subject-Independent Multi-Domain Facial Emotion Recognition with Local Salient Features","display_name":"Subject-Independent Multi-Domain Facial Emotion Recognition with Local Salient Features","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2984820161","doi":"https://doi.org/10.1109/ssd.2019.8893159","mag":"2984820161"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2019.8893159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017777218","display_name":"Salma Kasraoui","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Salma Kasraoui","raw_affiliation_strings":["LR-SITI Laboratory, University of Tunis el Manar, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LR-SITI Laboratory, University of Tunis el Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063621759","display_name":"Zied Lachiri","orcid":"https://orcid.org/0000-0002-1289-5089"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Zied Lachiri","raw_affiliation_strings":["LR-SITI Laboratory, University of Tunis el Manar, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LR-SITI Laboratory, University of Tunis el Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074887428","display_name":"Kurosh Madani","orcid":"https://orcid.org/0000-0002-1749-9122"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kurosh Madani","raw_affiliation_strings":["LISSI Laboratory, University of Paris Est Creteil, Lieusaint, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LISSI Laboratory, University of Paris Est Creteil, Lieusaint, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17161017,"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":"272","last_page":"277"},"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/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/T12496","display_name":"Color perception and design","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7646424770355225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324556112289429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282925844192505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7266122102737427},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.630990743637085},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5943744778633118},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5942086577415466},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5427837371826172},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5093887448310852},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4799397587776184},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.428737610578537},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3276004493236542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16978639364242554},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15937727689743042},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15223076939582825}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7646424770355225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324556112289429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282925844192505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7266122102737427},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.630990743637085},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5943744778633118},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5942086577415466},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5427837371826172},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5093887448310852},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4799397587776184},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.428737610578537},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3276004493236542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16978639364242554},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15937727689743042},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15223076939582825},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssd.2019.8893159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04324075v1","is_oa":false,"landing_page_url":"https://hal.u-pec.fr/hal-04324075","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), Mar 2019, Istanbul, Turkey. pp.272-277, ⟨10.1109/SSD.2019.8893159⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W103385871","https://openalex.org/W2003238582","https://openalex.org/W2003719799","https://openalex.org/W2020888723","https://openalex.org/W2025905516","https://openalex.org/W2084567445","https://openalex.org/W2087681821","https://openalex.org/W2101234009","https://openalex.org/W2119821739","https://openalex.org/W2132984323","https://openalex.org/W2139916508","https://openalex.org/W2396589722","https://openalex.org/W2479639417","https://openalex.org/W2573778818","https://openalex.org/W2766736793","https://openalex.org/W2801997881","https://openalex.org/W2895006884","https://openalex.org/W2897949668","https://openalex.org/W3034751874","https://openalex.org/W3144058330","https://openalex.org/W4239510810","https://openalex.org/W6672279060","https://openalex.org/W6675354045","https://openalex.org/W6712588427","https://openalex.org/W6778907217"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W1589677080","https://openalex.org/W1999808563","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Despite":[0],"the":[1,12,37,42,49,75,82,95,108,112],"rich":[2],"literature":[3],"on":[4,55,72,102],"facial":[5,25,34,97],"expressions":[6],"recognition,":[7],"little":[8],"works":[9],"have":[10],"considered":[11],"fusion":[13,89],"of":[14,74,81,111,120],"features":[15,35,77,115],"extracted":[16,76],"in":[17],"multiple":[18],"domains.":[19],"This":[20],"paper":[21],"proposes":[22],"a":[23],"multi-domain":[24,114],"emotion":[26],"recognition":[27],"framework.":[28],"The":[29],"approach":[30],"extracts":[31],"simultaneously":[32],"local":[33],"from":[36],"spatial":[38],"domain":[39,44,51],"(geometric":[40],"features),":[41],"frequency":[43],"(local":[45],"wavelets":[46],"features)":[47],"and":[48,64],"spatio-temporal":[50],"(Local":[52],"Binary":[53],"Patterns":[54],"Three":[56],"Orthogonal":[57],"Planes":[58],"(LBP-TOP)).":[59],"A":[60,87],"feed-forward":[61],"neural":[62],"networks":[63],"support":[65],"vector":[66],"machines":[67],"(SVM)":[68],"models":[69],"were":[70,100],"trained":[71],"each":[73],"to":[78,93],"assign":[79],"one":[80],"seven":[83],"basic":[84],"affective":[85],"states.":[86],"late":[88],"was":[90],"then":[91],"performed":[92],"characterize":[94],"final":[96],"expression.":[98],"Experiments":[99],"conducted":[101],"SAVEE":[103],"database.":[104],"Classification":[105],"results":[106],"show":[107],"complementary":[109],"effect":[110],"proposed":[113],"with":[116],"an":[117],"overall":[118],"accuracy":[119],"99.18":[121],"%":[122],"which":[123],"outperforms":[124],"state-of-the-art":[125],"works.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}