{"id":"https://openalex.org/W2997581902","doi":null,"title":"Facial Expression Recognition","display_name":"Facial Expression Recognition","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2997581902","mag":"2997581902"},"language":"en","primary_location":{"id":"mag:2997581902","doi":null,"is_oa":false,"landing_page_url":"https://inpressco.com/wp-content/uploads/2012/06/Paper8270-2781.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5043743759","display_name":"Riti Kushwaha","orcid":"https://orcid.org/0000-0003-0738-437X","observed_orcids":["https://orcid.org/0000-0003-0738-437X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riti Kushwaha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050462733","display_name":"Neeta Nain","orcid":"https://orcid.org/0000-0002-0550-0376","observed_orcids":["https://orcid.org/0000-0002-0550-0376","https://orcid.org/0000-0003-2269-4229"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neeta Nain","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0550-0376","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5813,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6970521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8285999894142151,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8285999894142151,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.16189999878406525,"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":0.006099999882280827,"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/facial-expression-recognition","display_name":"facial expression recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/facial-emotion-recognition","display_name":"facial emotion recognition","score":0.8330000042915344},{"id":"https://openalex.org/keywords/gabor-filters","display_name":"Gabor filters","score":0.781000018119812},{"id":"https://openalex.org/keywords/log-gabor-filters","display_name":"log-Gabor filters","score":0.9259999990463257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9549999833106995},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9279999732971191},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9589999914169312},{"id":"https://openalex.org/keywords/human-computer-interaction","display_name":"human-computer interaction","score":0.902999997138977},{"id":"https://openalex.org/keywords/visually-impaired-users","display_name":"visually impaired users","score":0.625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097774147987366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6624685525894165},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6220582723617554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61239093542099},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5726947784423828},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5471826791763306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.521227240562439},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.512528657913208},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49727967381477356},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4949895739555359},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4621283710002899},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4579048156738281},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.44680255651474},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.44567373394966125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33374643325805664},{"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2997581902","doi":null,"is_oa":false,"landing_page_url":"https://inpressco.com/wp-content/uploads/2012/06/Paper8270-2781.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1924647527","https://openalex.org/W2033773055","https://openalex.org/W2081089736","https://openalex.org/W2103384342","https://openalex.org/W2121600769","https://openalex.org/W2140351517","https://openalex.org/W2159017231","https://openalex.org/W2542042532","https://openalex.org/W2549975402"],"related_works":["https://openalex.org/W2785910779","https://openalex.org/W2032650433","https://openalex.org/W7095185527","https://openalex.org/W2164913086","https://openalex.org/W2912377626","https://openalex.org/W2055259995","https://openalex.org/W7095525443","https://openalex.org/W2008646744","https://openalex.org/W2381241573","https://openalex.org/W2006431213"],"abstract_inverted_index":{"Analysis":[0],"and":[1,26,38,78,94,114],"recognition":[2,70],"of":[3,23,28,46,59,68],"facial":[4,53,85],"expression":[5,69],"is":[6,18,87],"an":[7],"important":[8],"aspect":[9],"to":[10,42],"implement":[11],"the":[12],"intelligent":[13],"man":[14],"-machine":[15],"interface.":[16],"It":[17,31],"also":[19],"a":[20,33,57,64],"significant":[21,34],"component":[22],"artificial":[24],"intelligence":[25],"research":[27],"emotion":[29,86],"computing.":[30],"plays":[32],"role":[35],"for":[36,81],"illiterate":[37],"visually":[39],"challenged":[40],"users":[41],"access":[43],"information.":[44],"Mode":[45],"human":[47],"-computer":[48],"interaction":[49],"speech,":[50],"text,":[51],"gestures,":[52],"expressions,":[54],"symbols,":[55],"or":[56],"combination":[58],"these.":[60],"This":[61],"paper":[62],"presents":[63],"detailed":[65],"comparative":[66],"analysis":[67],"across":[71,123],"multiple":[72,124],"databases.":[73,125],"The":[74],"system":[75],"uses":[76],"Gabor":[77],"Log-Gabor":[79],"filter":[80,113],"feature":[82],"extraction.":[83],"Then":[84],"recognized":[88],"using":[89,107],"both":[90],"K-Nearest":[91],"Neighbour":[92],"KNN":[93],"Artificial":[95],"Neural":[96],"Network":[97],"ANN":[98,115],"technique.":[99],"Various":[100],"test":[101],"cases":[102],"are":[103],"explored":[104],"in":[105],"detail":[106],"which":[108],"we":[109],"conclude":[110],"that":[111],"log-Gabor":[112],"gives":[116],"best":[117],"results":[118],"with":[119],"96.4%":[120],"accuracy,":[121],"even":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-01-10T00:00:00"}
