{"id":"https://openalex.org/W2188240080","doi":null,"title":"Real-time Facial Expression Recognition Based on Boosted Embedded Hidden","display_name":"Real-time Facial Expression Recognition Based on Boosted Embedded Hidden","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2188240080","mag":"2188240080"},"language":"en","primary_location":{"id":"mag:2188240080","doi":null,"is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/1410442","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/A5077420206","display_name":"Xiaoxu Zhou","orcid":"https://orcid.org/0009-0004-5738-2908","observed_orcids":["https://orcid.org/0009-0004-5738-2908"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxu Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034994052","display_name":"Xiangsheng Huang","orcid":"https://orcid.org/0009-0007-5972-5793","observed_orcids":["https://orcid.org/0009-0007-5972-5793"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangsheng Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0007-5972-5793","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026702549","display_name":"Yangsheng Wang","orcid":"https://orcid.org/0009-0000-8326-392X","observed_orcids":["https://orcid.org/0009-0000-8326-392X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangsheng Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.5102999806404114,"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":0.5102999806404114,"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":0.4465000033378601,"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":0.028699999675154686,"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/real-time-recognition","display_name":"real-time recognition","score":0.8679999709129333},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.9819999933242798},{"id":"https://openalex.org/keywords/2d-discrete-cosine-transform","display_name":"two-dimensional discrete cosine transform","score":0.8389999866485596},{"id":"https://openalex.org/keywords/observation-vectors","display_name":"observation vectors","score":0.9330000281333923},{"id":"https://openalex.org/keywords/human-machine-interaction","display_name":"human-machine interaction","score":0.7300000190734863},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.5899999737739563}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7617926597595215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507103681564331},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.721845269203186},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.633678138256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6133790016174316},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5941631197929382},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5471987128257751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5067704319953918},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4986083507537842},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4081270098686218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37705424427986145},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3287341892719269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227308392524719},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2188240080","doi":null,"is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/1410442","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":16,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1896341954","https://openalex.org/W1967475838","https://openalex.org/W1988790447","https://openalex.org/W2022068631","https://openalex.org/W2024046085","https://openalex.org/W2038952578","https://openalex.org/W2115635058","https://openalex.org/W2121601095","https://openalex.org/W2141522145","https://openalex.org/W2143245774","https://openalex.org/W2145073242","https://openalex.org/W2159017231","https://openalex.org/W2164598857","https://openalex.org/W2172803778","https://openalex.org/W4238833372"],"related_works":["https://openalex.org/W1838527760","https://openalex.org/W3112142735","https://openalex.org/W4238833372","https://openalex.org/W2363466386","https://openalex.org/W2100965694","https://openalex.org/W1527971684","https://openalex.org/W47265595","https://openalex.org/W808430549","https://openalex.org/W2188282693","https://openalex.org/W2123257782"],"abstract_inverted_index":{"The":[0,38],"most":[1],"expressive":[2],"way":[3],"human":[4],"display":[5],"emotion":[6],"is":[7,14,142],"through":[8],"facial":[9,30,74,148],"expressions.":[10],"Facial":[11],"expression":[12,31,75],"recognition":[13,32,118],"necessary":[15],"for":[16,57],"designing":[17],"any":[18],"practical":[19],"human-machine":[20,132],"interfaces.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25,49,122],"novel":[26,50],"framework":[27,125],"to":[28,72,95,103,146],"real-time":[29,73,131],"within":[33],"the":[34,80,91,105,112,115,139],"interactive":[35,133],"computer":[36],"environment.":[37],"two":[39],"major":[40],"contributions":[41],"of":[42,114],"this":[43,68,78],"work":[44],"are:":[45],"First,":[46],"we":[47,66],"proposed":[48,109,140],"network":[51],"structure":[52],"and":[53,117,126],"parameters":[54],"learning":[55],"algorithm":[56],"embedded":[58,70,81],"HMM":[59,71,82,97],"[1]":[60],"based":[61],"on":[62],"AdaBoost":[63],"[2].":[64],"Second,":[65],"apply":[67],"optimized":[69],"recognition.":[76],"In":[77],"paper,":[79],"uses":[83],"two-dimensional":[84],"Discrete":[85],"Cosine":[86],"Transform":[87],"(2DDCT)":[88],"coefficients":[89],"as":[90],"observation":[92,106],"vectors":[93],"opposite":[94],"previous":[96],"approaches":[98],"which":[99],"use":[100],"pixel":[101],"intensities":[102],"form":[104],"vectors.":[107],"Our":[108],"system":[110],"reduces":[111],"complexity":[113],"training":[116],"system.":[119],"It":[120],"offers":[121],"more":[123],"flexible":[124],"can":[127],"be":[128],"used":[129],"in":[130],"applications.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"approach":[141],"an":[143],"effective":[144],"method":[145],"recognize":[147],"expression.":[149]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}