{"id":"https://openalex.org/W2562275814","doi":"https://doi.org/10.1109/rcar.2016.7784067","title":"Emotion recognition using fixed length micro-expressions sequence and weighting method","display_name":"Emotion recognition using fixed length micro-expressions sequence and weighting method","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2562275814","doi":"https://doi.org/10.1109/rcar.2016.7784067","mag":"2562275814"},"language":"en","primary_location":{"id":"doi:10.1109/rcar.2016.7784067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2016.7784067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5101515647","display_name":"Mengting Chen","orcid":"https://orcid.org/0000-0002-7656-895X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mengting Chen","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009763761","display_name":"T. Heather","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heather T. Ma","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066052627","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-9359-3586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379136","display_name":"Huanhuan Wang","orcid":"https://orcid.org/0000-0003-4689-5578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huanhuan Wang","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101515647"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9072,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79851175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"430"},"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":0.9972000122070312,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/weighting","display_name":"Weighting","score":0.9166597127914429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7486537098884583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6602523922920227},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6378852725028992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633966326713562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6110343337059021},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.545059859752655},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5409684181213379},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5044263601303101},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.49647384881973267},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49126142263412476},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47032105922698975},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42658519744873047}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.9166597127914429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7486537098884583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6602523922920227},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6378852725028992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633966326713562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6110343337059021},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.545059859752655},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5409684181213379},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5044263601303101},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.49647384881973267},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49126142263412476},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47032105922698975},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42658519744873047},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar.2016.7784067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2016.7784067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":17,"referenced_works":["https://openalex.org/W54565787","https://openalex.org/W122084805","https://openalex.org/W1520214690","https://openalex.org/W1808644423","https://openalex.org/W1854318472","https://openalex.org/W1998022503","https://openalex.org/W2006426145","https://openalex.org/W2024868105","https://openalex.org/W2056591378","https://openalex.org/W2059068649","https://openalex.org/W2072038603","https://openalex.org/W2143899944","https://openalex.org/W2146780613","https://openalex.org/W2156503193","https://openalex.org/W2538953432","https://openalex.org/W6630959999","https://openalex.org/W6638249342"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W2985118265","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Facial":[0],"micro-expressions":[1],"are":[2],"brief":[3],"involuntary":[4],"spontaneous":[5],"facial":[6,55],"expressions":[7],"which":[8,34],"can":[9],"reveal":[10],"suppressed":[11],"affect.":[12],"However,":[13],"previous":[14],"studies":[15],"ignored":[16],"that":[17,78],"different":[18,22],"face":[19],"regions":[20],"have":[21,88],"contributions":[23],"to":[24,43],"micro-expression":[25,49,56,97],"recognition.":[26,98],"In":[27],"this":[28],"study,":[29],"we":[30],"proposed":[31,52,85],"a":[32],"method":[33,53,73,87],"employs":[35],"weight":[36],"of":[37,62],"feature":[38],"and":[39,71,83,91],"weighted":[40],"fuzzy":[41],"classification":[42,70],"enhance":[44],"the":[45,60,79,84],"effective":[46],"information":[47],"in":[48,96],"sequences.":[50],"The":[51,75],"achieved":[54],"recognition":[57],"based":[58],"on":[59],"combination":[61],"an":[63],"outstanding":[64],"spatio-temporal":[65,80],"descriptor":[66,81],"HOG3D":[67,82],"for":[68],"action":[69],"weighting":[72,86],"together.":[74],"results":[76,95],"demonstrated":[77],"superior":[89],"performance":[90],"achieve":[92],"very":[93],"promising":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}