{"id":"https://openalex.org/W2991311796","doi":"https://doi.org/10.1109/smc.2019.8914194","title":"Automatic Generation of Dance and Facial Expressions Linked to Music using HMM","display_name":"Automatic Generation of Dance and Facial Expressions Linked to Music using HMM","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991311796","doi":"https://doi.org/10.1109/smc.2019.8914194","mag":"2991311796"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","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/A5101948814","display_name":"Taiki Sato","orcid":"https://orcid.org/0000-0002-7654-9644"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taiki Sato","raw_affiliation_strings":["School of Computer Science, Tokyo Univesity of Technology, 1404-1 Katakura, Hachioiji, Tokyo, JAPAN"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo Univesity of Technology, 1404-1 Katakura, Hachioiji, Tokyo, JAPAN","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112434511","display_name":"Yuko Osana","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuko Osana","raw_affiliation_strings":["School of Computer Science, Tokyo Univesity of Technology, 1404-1 Katakura, Hachioiji, Tokyo, JAPAN"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo Univesity of Technology, 1404-1 Katakura, Hachioiji, Tokyo, JAPAN","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101948814"],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16179842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"3999","last_page":"4006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9388999938964844,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9200999736785889,"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/dance","display_name":"Dance","score":0.7536032199859619},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7303640246391296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755257248878479},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6389608979225159},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5099393129348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49455830454826355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3350924253463745},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.14310547709465027},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.12970751523971558}],"concepts":[{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.7536032199859619},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7303640246391296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755257248878479},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6389608979225159},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5099393129348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49455830454826355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3350924253463745},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.14310547709465027},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.12970751523971558}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W2049633694","https://openalex.org/W2073459066","https://openalex.org/W2125838338","https://openalex.org/W2142384583","https://openalex.org/W2189625117","https://openalex.org/W4285719527","https://openalex.org/W6600593648","https://openalex.org/W6681084769","https://openalex.org/W6686980507"],"related_works":["https://openalex.org/W597595235","https://openalex.org/W3200585538","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861"],"abstract_inverted_index":{"In":[0,16,129],"this":[1],"paper,":[2],"we":[3],"propose":[4],"automatic":[5,223],"generation":[6,224],"of":[7,173,225],"dance":[8,60,76,93,103,108,134,174,185,199,226],"and":[9,58,61,78,110,136,152,183,201,205,208,227],"facial":[10,79,122,138,202,228],"expression":[11,62,80,112,127,139,203,229],"using":[12,147],"Hidden":[13,164],"Markov":[14,165],"Model.":[15],"the":[17,21,36,72,87,97,111,116,130,133,137,148,153,158,177,180,184,193,197,210,213,234],"proposed":[18,73,131,235],"system,":[19,74,132],"first,":[20],"acoustic":[22,43,88,181],"feature":[23,182],"for":[24,141,196],"each":[25,142],"analysis":[26,143,214],"interval":[27,144],"whose":[28],"length":[29],"is":[30,33,96,105,115,124,155,167],"one":[31],"bar":[32],"extracted":[34],"from":[35,176],"music":[37],"given":[38],"by":[39,190],"an":[40,126],"user.":[41],"As":[42],"features,":[44],"Mel-Frequency":[45],"Cepstrum":[46],"Coefficients":[47],"(MFCC)":[48],"are":[49,53,64,82,90,145],"used.":[50],"Similar":[51],"phrases":[52],"often":[54,65],"repeated":[55],"in":[56,71,233],"music,":[57],"similar":[59,68,75,102,121],"actions":[63,77,81],"assigned":[66,83],"to":[67,84,169,220],"phrases.":[69],"Even":[70],"sections":[85],"where":[86],"features":[89],"similar.":[91],"The":[92],"motion":[94,113,135,140,195,211],"that":[95,114,222],"basic":[98,117],"form":[99,118],"when":[100,119],"generating":[101,120],"motions":[104,123],"called":[106,125],"a":[107,163,171],"vocabulary,":[109,204],"vocabulary.":[128,186],"classified":[146,159],"K-means":[149],"++":[150],"method,":[151],"vocabulary":[154,175,200],"associated":[156],"with":[157],"class":[160],"labels.":[161],"Next,":[162],"Model":[166],"used":[168],"determine":[170],"sequence":[172],"correspondence":[178],"between":[179],"Finally,":[187],"it":[188],"determines":[189],"randomly":[191],"selecting":[192],"corresponding":[194],"determined":[198],"interpolates,":[206],"combines":[207],"outputs":[209],"during":[212],"interval.":[215],"Computer":[216],"experiments":[217],"were":[218],"conducted":[219],"confirm":[221],"can":[230],"be":[231],"performed":[232],"system.":[236]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
