{"id":"https://openalex.org/W3105423288","doi":"https://doi.org/10.3390/s20226534","title":"Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform","display_name":"Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3105423288","doi":"https://doi.org/10.3390/s20226534","mag":"3105423288","pmid":"https://pubmed.ncbi.nlm.nih.gov/33207544"},"language":"en","primary_location":{"id":"doi:10.3390/s20226534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226534","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6534/pdf?version=1605500911","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/22/6534/pdf?version=1605500911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073646713","display_name":"Ran Dong","orcid":"https://orcid.org/0000-0001-6764-4861"},"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":"Ran Dong","raw_affiliation_strings":["School of Computer Science, Tokyo University of Technology, Tokyo 192-0982, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo University of Technology, Tokyo 192-0982, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103100460","display_name":"Dongsheng Cai","orcid":"https://orcid.org/0000-0003-1041-6037"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dongsheng Cai","raw_affiliation_strings":["Faculty of Engineering, Information and Systems, University of Tsukuba, Ibaraki 305-8577, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems, University of Tsukuba, Ibaraki 305-8577, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088118939","display_name":"Soichiro Ikuno","orcid":"https://orcid.org/0000-0001-8717-8474"},"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":"Soichiro Ikuno","raw_affiliation_strings":["School of Computer Science, Tokyo University of Technology, Tokyo 192-0982, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo University of Technology, Tokyo 192-0982, Japan","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073646713"],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.3313,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90882035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"22","first_page":"6534","last_page":"6534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9818000197410583,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9818000197410583,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9589999914169312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9278063774108887},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5811953544616699},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5663762092590332},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.5530977249145508},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5285533666610718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5223937034606934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5195277333259583},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5083944201469421},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.4731222987174988},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.452227383852005},{"id":"https://openalex.org/keywords/hilbert-spectral-analysis","display_name":"Hilbert spectral analysis","score":0.44780975580215454},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4298112392425537},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17039459943771362}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9278063774108887},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5811953544616699},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5663762092590332},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.5530977249145508},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5285533666610718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5223937034606934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5195277333259583},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5083944201469421},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.4731222987174988},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.452227383852005},{"id":"https://openalex.org/C207659853","wikidata":"https://www.wikidata.org/wiki/Q5761228","display_name":"Hilbert spectral analysis","level":4,"score":0.44780975580215454},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4298112392425537},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17039459943771362},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20226534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226534","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6534/pdf?version=1605500911","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33207544","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33207544","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1aadb901c5ff472d90e3b699624e2bbf","is_oa":true,"landing_page_url":"https://doaj.org/article/1aadb901c5ff472d90e3b699624e2bbf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 22, p 6534 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/22/6534/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20226534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 22; Pages: 6534","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7698183","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7698183","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20226534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226534","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6534/pdf?version=1605500911","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2088598246","display_name":null,"funder_award_id":"20K23352","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3105423288.pdf","grobid_xml":"https://content.openalex.org/works/W3105423288.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W130216483","https://openalex.org/W397076878","https://openalex.org/W2007221293","https://openalex.org/W2053309418","https://openalex.org/W2077664060","https://openalex.org/W2087537008","https://openalex.org/W2096592665","https://openalex.org/W2100864539","https://openalex.org/W2105880556","https://openalex.org/W2119350939","https://openalex.org/W2128827269","https://openalex.org/W2132085292","https://openalex.org/W2132089121","https://openalex.org/W2165744315","https://openalex.org/W2185852526","https://openalex.org/W2605867002","https://openalex.org/W2627087064","https://openalex.org/W2741977460","https://openalex.org/W2768205359","https://openalex.org/W2804573241","https://openalex.org/W2890669172","https://openalex.org/W2924212870","https://openalex.org/W2938815817","https://openalex.org/W2975502227","https://openalex.org/W3103635110","https://openalex.org/W3141408015","https://openalex.org/W4376849658","https://openalex.org/W6677784670","https://openalex.org/W6678397702","https://openalex.org/W6684676670","https://openalex.org/W6736065036"],"related_works":["https://openalex.org/W2060439639","https://openalex.org/W2370187152","https://openalex.org/W2107880197","https://openalex.org/W2109806355","https://openalex.org/W2116348888","https://openalex.org/W1496458581","https://openalex.org/W2002496381","https://openalex.org/W2366552458","https://openalex.org/W2985368510","https://openalex.org/W2388406650"],"abstract_inverted_index":{"Motion":[0],"capture":[1,22],"data":[2,23,41],"are":[3,24],"widely":[4],"used":[5],"in":[6,27,42,127,137],"different":[7],"research":[8,99],"fields":[9],"such":[10],"as":[11],"medical,":[12],"entertainment,":[13],"and":[14,81,135,155],"industry.":[15],"However,":[16],"most":[17],"motion":[18,21,33,40,121,130],"researches":[19],"using":[20,63],"carried":[25],"out":[26],"the":[28,43,60,64,86,102],"time-domain.":[29],"To":[30],"understand":[31],"human":[32,50,108],"complexities,":[34],"it":[35],"is":[36,74],"necessary":[37],"to":[38,48,56,119,146],"analyze":[39,49],"frequency-domain.":[44,139],"In":[45],"this":[46],"paper,":[47],"motions,":[51],"we":[52,142],"present":[53],"a":[54,75,111,148,152,157],"framework":[55,145],"transform":[57,66],"motions":[58,109,126],"into":[59,89,110],"instantaneous":[61,138],"frequency-domain":[62],"Hilbert-Huang":[65],"(HHT).":[67],"The":[68],"empirical":[69],"mode":[70,95],"decomposition":[71],"(EMD)":[72],"that":[73,101],"part":[76],"of":[77,114],"HHT":[78],"decomposes":[79],"nonstationary":[80],"nonlinear":[82,115],"signals":[83],"captured":[84],"from":[85],"real-world":[87],"experiments":[88],"pseudo":[90],"monochromatic":[91],"signals,":[92],"so-called":[93],"intrinsic":[94],"function":[96],"(IMF).":[97],"Our":[98],"reveals":[100],"multivariate":[103],"EMD":[104],"can":[105,132],"decompose":[106],"complicated":[107],"finite":[112],"number":[113],"modes":[116],"(IMFs)":[117],"corresponding":[118],"distinct":[120],"primitives.":[122],"Analyzing":[123],"these":[124],"decomposed":[125],"Hilbert":[128],"spectrum,":[129],"characteristics":[131],"be":[133],"extracted":[134],"visualized":[136],"For":[140],"example,":[141],"apply":[143],"our":[144],"(1)":[147],"jump":[149],"motion,":[150],"(2)":[151],"foot-injured":[153],"gait,":[154],"(3)":[156],"golf":[158],"swing":[159],"motion.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}