{"id":"https://openalex.org/W2004942969","doi":"https://doi.org/10.1109/robio.2013.6739524","title":"Mandarin emotion recognition based on multifractal theory towards human-robot interaction","display_name":"Mandarin emotion recognition based on multifractal theory towards human-robot interaction","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2004942969","doi":"https://doi.org/10.1109/robio.2013.6739524","mag":"2004942969"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100410286","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-0896-8409"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Peking University, Shenzhen, China","Shenzhen Grad. Sch., Peking Univ., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Shenzhen Grad. Sch., Peking Univ., Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454481","display_name":"Wenjuan Zhang","orcid":"https://orcid.org/0000-0001-6757-3987"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjuan Zhang","raw_affiliation_strings":["Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Peking University, Shenzhen, China","Shenzhen Grad. Sch., Peking Univ., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Shenzhen Grad. Sch., Peking Univ., Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4135,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92368422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multifractal-system","display_name":"Multifractal system","score":0.8754525184631348},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.700799822807312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5822272896766663},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5794749855995178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5658152103424072},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.47983595728874207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44095727801322937},{"id":"https://openalex.org/keywords/chaos-theory","display_name":"Chaos theory","score":0.4301905930042267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4208354949951172},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.41252923011779785},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.411196768283844},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.28329068422317505},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12646213173866272},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11836844682693481},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1060241162776947}],"concepts":[{"id":"https://openalex.org/C133905733","wikidata":"https://www.wikidata.org/wiki/Q2629238","display_name":"Multifractal system","level":3,"score":0.8754525184631348},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.700799822807312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822272896766663},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5794749855995178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5658152103424072},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.47983595728874207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44095727801322937},{"id":"https://openalex.org/C92866567","wikidata":"https://www.wikidata.org/wiki/Q166314","display_name":"Chaos theory","level":3,"score":0.4301905930042267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4208354949951172},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.41252923011779785},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.411196768283844},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.28329068422317505},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12646213173866272},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11836844682693481},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1060241162776947}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W309418507","https://openalex.org/W1536822605","https://openalex.org/W1966617449","https://openalex.org/W1967982442","https://openalex.org/W1979843796","https://openalex.org/W2009059481","https://openalex.org/W2012041061","https://openalex.org/W2014115381","https://openalex.org/W2022644596","https://openalex.org/W2032254851","https://openalex.org/W2043425200","https://openalex.org/W2045377862","https://openalex.org/W2071602085","https://openalex.org/W2073955790","https://openalex.org/W2077186504","https://openalex.org/W2077378630","https://openalex.org/W2083094940","https://openalex.org/W2093362058","https://openalex.org/W2104955263","https://openalex.org/W2114537326","https://openalex.org/W2122609807","https://openalex.org/W2149628368","https://openalex.org/W2152254020","https://openalex.org/W2155669300","https://openalex.org/W2379813382","https://openalex.org/W4255043773"],"related_works":["https://openalex.org/W1639315488","https://openalex.org/W2010006040","https://openalex.org/W2371123573","https://openalex.org/W2349260527","https://openalex.org/W3167219900","https://openalex.org/W2288574633","https://openalex.org/W1446338387","https://openalex.org/W2164191158","https://openalex.org/W2351118691","https://openalex.org/W3216443097"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,148],"is":[2,66,85,93,105,122,154],"crucially":[3],"related":[4],"with":[5,35,107,124],"friendly":[6],"and":[7,39,74,128,141,156],"humanistic":[8],"human-robot":[9],"interaction.":[10],"Our":[11],"paper":[12],"aims":[13],"at":[14],"developing":[15],"a":[16],"new":[17],"kind":[18],"of":[19,37,63,113],"features":[20],"to":[21,134],"mandarin":[22],"emotional":[23,91],"speech":[24,46,92],"signal":[25],"based":[26],"on":[27],"multifractal":[28,94],"theory.":[29],"Firstly,":[30],"phase":[31],"space":[32],"structure":[33],"differentiate":[34],"respect":[36],"initials":[38],"finals":[40],"indicate":[41],"the":[42,60,78,90,136],"fractal":[43,64,80],"phenomenon":[44],"during":[45,82],"produce":[47],"process.":[48],"Further,":[49],"positive":[50],"largest":[51],"Lyapunov":[52],"exponent":[53],"proved":[54],"existing":[55],"chaos.":[56],"To":[57],"quantitatively":[58],"measure":[59],"chaos,":[61],"extension":[62],"concept-multifractal":[65],"calculated":[67],"by":[68],"multi-fractal":[69],"detrended":[70],"fluctuation":[71],"analysis":[72],"(MFDFA)":[73],"Legendre":[75],"transformation.":[76],"Besides,":[77],"underlying":[79],"characteristics":[81],"calculation":[83],"process":[84],"analyzed,":[86],"which":[87,121],"further":[88],"verifies":[89],"rather":[95],"than":[96],"monofractal.":[97],"Multifractal":[98],"spectrum":[99],"visually":[100],"shows":[101],"that":[102,151],"various":[103],"emotion":[104],"differentiated":[106],"each":[108],"other.":[109],"After":[110],"extracting":[111],"parameters":[112],"mulfractal":[114],"spectrum,":[115],"several":[116],"comparative":[117],"experiments":[118],"are":[119],"established,":[120],"implemented":[123],"BP":[125],"neural":[126],"network":[127],"support":[129],"vector":[130],"machine":[131],"(SVM)":[132],"respectively":[133],"hence":[135],"comparison":[137],"between":[138],"our":[139,152],"approach":[140],"conventional":[142],"one.":[143],"At":[144],"last,":[145],"improvement":[146],"in":[147],"accuracies":[149],"demonstrates":[150],"method":[153],"available":[155],"effective.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
