{"id":"https://openalex.org/W4300580322","doi":"https://doi.org/10.1109/thms.2022.3194593","title":"A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control","display_name":"A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control","publication_year":2022,"publication_date":"2022-08-10","ids":{"openalex":"https://openalex.org/W4300580322","doi":"https://doi.org/10.1109/thms.2022.3194593"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2022.3194593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3194593","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5101863243","display_name":"Hong-Bo Xie","orcid":"https://orcid.org/0000-0002-7739-3047"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Hongbo Xie","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China","Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7739-3047","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001588690","display_name":"Kerrie Mengersen","orcid":"https://orcid.org/0000-0001-8625-9168"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kerrie Mengersen","raw_affiliation_strings":["Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8625-9168","affiliations":[{"raw_affiliation_string":"Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108731658","display_name":"Chang\u00e1n Di","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changan Di","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724511","display_name":"Yongjian Zhang","orcid":"https://orcid.org/0000-0002-8794-149X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084210670","display_name":"Justin Lipman","orcid":"https://orcid.org/0000-0003-2877-1168"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Justin Lipman","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2877-1168","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049055621","display_name":"Sabine Van Huffel","orcid":"https://orcid.org/0000-0001-5939-0996"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Sabine Van Huffel","raw_affiliation_strings":["Department of Electrical Engineering, ESAT Stadius Division, KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-5939-0996","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, ESAT Stadius Division, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4904,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58042326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"52","issue":"6","first_page":"1258","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9873999953269958,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6766351461410522},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6161518692970276},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5805431604385376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5801483392715454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5614811182022095},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49383407831192017},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4733947515487671},{"id":"https://openalex.org/keywords/jacobian-matrix-and-determinant","display_name":"Jacobian matrix and determinant","score":0.41850149631500244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39701366424560547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38276582956314087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3307964503765106},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.2803442180156708},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.09817564487457275}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6766351461410522},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6161518692970276},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5805431604385376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5801483392715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614811182022095},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49383407831192017},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4733947515487671},{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.41850149631500244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39701366424560547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38276582956314087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3307964503765106},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2803442180156708},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.09817564487457275},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/thms.2022.3194593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3194593","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/701833","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/20.500.12942/701833/2/22-94.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Transactions On Human-Machine Systems, vol. 52 (6), (1258-1270)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1501521769","https://openalex.org/W1503965101","https://openalex.org/W1601795611","https://openalex.org/W1901756153","https://openalex.org/W1984002649","https://openalex.org/W1994040806","https://openalex.org/W2002469984","https://openalex.org/W2012277385","https://openalex.org/W2021320602","https://openalex.org/W2031696998","https://openalex.org/W2076492765","https://openalex.org/W2076963649","https://openalex.org/W2082480549","https://openalex.org/W2093510665","https://openalex.org/W2115707882","https://openalex.org/W2118718620","https://openalex.org/W2135029798","https://openalex.org/W2147512299","https://openalex.org/W2158276602","https://openalex.org/W2158821123","https://openalex.org/W2469571316","https://openalex.org/W2515227857","https://openalex.org/W2550389601","https://openalex.org/W2605257858","https://openalex.org/W2738412876","https://openalex.org/W2758171466","https://openalex.org/W2766242384","https://openalex.org/W2783635160","https://openalex.org/W2795859290","https://openalex.org/W2941256933","https://openalex.org/W2950241128","https://openalex.org/W2964770997","https://openalex.org/W2996830665","https://openalex.org/W2999958674","https://openalex.org/W3013770732","https://openalex.org/W3036719386","https://openalex.org/W3138440267","https://openalex.org/W3139939952","https://openalex.org/W3205759461","https://openalex.org/W4287126364","https://openalex.org/W6630241688","https://openalex.org/W6677448297","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6796393332"],"related_works":["https://openalex.org/W1964120219","https://openalex.org/W1971035997","https://openalex.org/W2891787551","https://openalex.org/W2125776881","https://openalex.org/W2954309397","https://openalex.org/W2098427867","https://openalex.org/W2390582229","https://openalex.org/W2382894333","https://openalex.org/W1562793155","https://openalex.org/W4300580322"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1],"factorization":[2],"(NMF)":[3],"is":[4,56,138],"a":[5,105,116],"powerful":[6],"tool":[7],"for":[8,45,153,205],"parameter":[9],"estimation":[10],"applied":[11,139],"in":[12,78,196],"numerous":[13],"robotics":[14],"applications,":[15],"such":[16],"as":[17],"path":[18],"planning,":[19],"motion":[20,24],"trajectory":[21],"prediction,":[22],"and":[23,37,111,175,193],"intention":[25],"detection.":[26],"In":[27,131],"particular,":[28],"NMF":[29,80,85,112],"has":[30],"been":[31],"successfully":[32],"used":[33],"to":[34,69,89,122,140,180],"extract":[35],"simplified":[36,71],"organized":[38],"movement":[39,146,199],"primitives":[40,200],"from":[41],"myoelectric":[42],"signal":[43],"(MES)":[44],"robust":[46,206],"control":[47],"of":[48,50,74,94,129,145],"multi-degree":[49],"freedom":[51],"humanoid":[52],"robots.":[53],"However,":[54],"MES":[55,178],"typically":[57],"contaminated":[58],"by":[59,159],"complex":[60],"noise":[61,76,126,172],"sources.":[62],"The":[63,148,185],"system":[64],"performance":[65,168],"often":[66],"degrades":[67],"due":[68],"the":[70,75,92,95,124,133,143,154,166,198],"Gaussian":[72,109,118],"assumption":[73],"distribution":[77,173],"existing":[79,84],"methods.":[81],"Furthermore,":[82],"most":[83],"models":[86],"are":[87,157],"unable":[88],"automatically":[90,141],"determine":[91],"rank":[93],"latent":[96],"matrices.":[97],"To":[98],"address":[99],"these":[100],"issues,":[101],"this":[102],"article":[103],"presents":[104],"hybrid":[106],"variational":[107,161],"Bayesian":[108,162],"mixture":[110,119],"(GMNMF)":[113],"model":[114,120,156,167],"with":[115],"finite":[117],"adopted":[121],"fit":[123],"mixed":[125],"density":[127],"function":[128],"MES.":[130],"addition,":[132],"automatic":[134],"relevant":[135],"determination":[136],"criterion":[137],"infer":[142],"number":[144],"primitives.":[147],"coordinate":[149],"descent":[150],"update":[151],"rules":[152],"proposed":[155],"formulated":[158],"mean-field":[160],"inference.":[163],"We":[164],"assess":[165],"on":[169],"five":[170],"synthetic":[171],"functions":[174],"an":[176],"experimental":[177],"dataset":[179],"perform":[181],"six":[182],"wrist":[183],"movements.":[184],"results":[186],"demonstrate":[187],"that":[188],"GMNMF":[189],"yields":[190],"low":[191],"error":[192],"high":[194],"robustness":[195],"extracting":[197],"over":[201],"four":[202],"competitive":[203],"methods":[204],"cybernetic":[207],"control.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
