{"id":"https://openalex.org/W3039639271","doi":"https://doi.org/10.1109/access.2020.3006336","title":"A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion","display_name":"A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3039639271","doi":"https://doi.org/10.1109/access.2020.3006336","mag":"3039639271"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3006336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006336","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09130674.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09130674.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103091042","display_name":"Junchang Zhang","orcid":"https://orcid.org/0000-0003-0371-6154"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchang Zhang","raw_affiliation_strings":["Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739655","display_name":"Shiqiang Liu","orcid":"https://orcid.org/0000-0002-2662-5258"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqiang Liu","raw_affiliation_strings":["Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736149","display_name":"Yu\u2010Zhong Zhang","orcid":"https://orcid.org/0000-0002-2017-1005"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhong Zhang","raw_affiliation_strings":["Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058693222","display_name":"Rong Zhu","orcid":"https://orcid.org/0000-0001-5363-9519"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhu","raw_affiliation_strings":["Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5363-9519","affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1917,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.48086341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"120553","last_page":"120561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9872999787330627,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100081443786621},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6894426345825195},{"id":"https://openalex.org/keywords/trunk","display_name":"Trunk","score":0.6452105045318604},{"id":"https://openalex.org/keywords/angular-velocity","display_name":"Angular velocity","score":0.5840744972229004},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5729885697364807},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5685445070266724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.54334956407547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5375646352767944},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5185430645942688},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.44656991958618164},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4455978572368622},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.389847993850708},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17027586698532104},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.08324095606803894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100081443786621},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6894426345825195},{"id":"https://openalex.org/C2781197403","wikidata":"https://www.wikidata.org/wiki/Q193472","display_name":"Trunk","level":2,"score":0.6452105045318604},{"id":"https://openalex.org/C5594486","wikidata":"https://www.wikidata.org/wiki/Q161635","display_name":"Angular velocity","level":2,"score":0.5840744972229004},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5729885697364807},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5685445070266724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.54334956407547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375646352767944},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5185430645942688},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.44656991958618164},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4455978572368622},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.389847993850708},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17027586698532104},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.08324095606803894},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3006336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006336","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09130674.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:08386e7e796a441687d5643bc5fd5325","is_oa":true,"landing_page_url":"https://doaj.org/article/08386e7e796a441687d5643bc5fd5325","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 120553-120561 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3006336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006336","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09130674.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G375943676","display_name":null,"funder_award_id":"51735007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7171817476","display_name":null,"funder_award_id":"2019GQG1009","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3039639271.pdf","grobid_xml":"https://content.openalex.org/works/W3039639271.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1636196282","https://openalex.org/W1979176388","https://openalex.org/W1982679676","https://openalex.org/W1986938225","https://openalex.org/W1987317785","https://openalex.org/W2005700828","https://openalex.org/W2005971432","https://openalex.org/W2011235351","https://openalex.org/W2012447647","https://openalex.org/W2019442847","https://openalex.org/W2059744080","https://openalex.org/W2090005431","https://openalex.org/W2129734857","https://openalex.org/W2133764509","https://openalex.org/W2161273285","https://openalex.org/W2170070979","https://openalex.org/W2171936259","https://openalex.org/W2333544554","https://openalex.org/W2578792657","https://openalex.org/W2597360030","https://openalex.org/W2617338882","https://openalex.org/W2789915296","https://openalex.org/W2793203287","https://openalex.org/W2895949813","https://openalex.org/W2952548144","https://openalex.org/W2955452574","https://openalex.org/W2982341362","https://openalex.org/W3030598404"],"related_works":["https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W2366362996","https://openalex.org/W2517624617","https://openalex.org/W2378422373","https://openalex.org/W2129566390","https://openalex.org/W2360905385","https://openalex.org/W2038676369"],"abstract_inverted_index":{"Human":[0],"motion":[1,53,80,117],"monitoring":[2],"is":[3,18],"important":[4],"in":[5],"applications":[6],"of":[7,30,100,116,119,126],"movies,":[8],"animation,":[9],"sport":[10],"training,":[11],"physical":[12],"rehabilitation,":[13],"and":[14,24,32,72,121,133,135],"human-robot":[15],"interaction.":[16],"There":[17],"a":[19,22,39,60],"demand":[20],"for":[21,130],"simple":[23,136],"easy-to-use":[25],"method":[26,109],"to":[27,50,68,88,96,137],"recognize":[28],"motions":[29],"limbs":[31],"trunk.":[33],"In":[34,56],"this":[35],"paper,":[36],"we":[37,58],"developed":[38],"wearable":[40,84,111],"velocity":[41,54,71,75,102],"tracking":[42,85,103],"device":[43,86,112],"using":[44],"two":[45],"orthogonally-placed":[46],"micro":[47],"flow":[48],"sensors":[49],"implement":[51],"three-dimensional":[52],"measurement.":[55],"addition,":[57],"proposed":[59,108],"functional":[61],"link":[62],"artificial":[63],"neural":[64],"network":[65],"(FLANN)":[66],"model":[67],"extract":[69],"trunk":[70],"relative":[73],"limb":[74,79,120],"from":[76],"an":[77],"absolute":[78],"detected":[81],"by":[82],"the":[83,98,101,107],"according":[87],"their":[89],"different":[90],"dynamic":[91,131],"features.":[92],"Experiments":[93],"were":[94,124],"conducted":[95],"validate":[97],"effectiveness":[99],"methodology.":[104],"Results":[105],"showed":[106],"with":[110],"enables":[113],"real-time":[114],"measurements":[115],"velocities":[118],"trunk,":[122],"which":[123],"free":[125],"accumulated":[127],"error,":[128],"robust":[129],"walking":[132],"running,":[134],"use.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}