{"id":"https://openalex.org/W6922386943","doi":"https://doi.org/10.13016/i9jq-e4qu","title":"Quantitative Motion Analysis of the Upper Limb: Establishment of Normative Kinematic Datasets and Systematic Comparison of Motion Analysis Systems","display_name":"Quantitative Motion Analysis of the Upper Limb: Establishment of Normative Kinematic Datasets and Systematic Comparison of Motion Analysis Systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6922386943","doi":"https://doi.org/10.13016/i9jq-e4qu"},"language":"en","primary_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/29565","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/29565","pdf_url":"https://drum.lib.umd.edu/bitstreams/a636ce13-0859-45e5-8add-4567e5ee4ed0/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://drum.lib.umd.edu/bitstreams/a636ce13-0859-45e5-8add-4567e5ee4ed0/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wang, Sophie Linyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Sophie Linyi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.8593999743461609},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.7997999787330627},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6661999821662903},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5069000124931335},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.4871000051498413},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4318000078201294},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4178999960422516}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8593999743461609},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.7997999787330627},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6661999821662903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64410001039505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579000115394592},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3716999888420105},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36910000443458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35429999232292175},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.35359999537467957},{"id":"https://openalex.org/C137549413","wikidata":"https://www.wikidata.org/wiki/Q7053127","display_name":"Normative model of decision-making","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3009999990463257},{"id":"https://openalex.org/C159842133","wikidata":"https://www.wikidata.org/wiki/Q1137548","display_name":"Fitts's law","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:drum.lib.umd.edu:1903/29565","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/29565","pdf_url":"https://drum.lib.umd.edu/bitstreams/a636ce13-0859-45e5-8add-4567e5ee4ed0/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},{"id":"doi:10.13016/i9jq-e4qu","is_oa":true,"landing_page_url":"https://doi.org/10.13016/i9jq-e4qu","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/29565","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/29565","pdf_url":"https://drum.lib.umd.edu/bitstreams/a636ce13-0859-45e5-8add-4567e5ee4ed0/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W6922386943.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Upper":[0],"limb":[1],"prosthetic":[2],"devices":[3],"with":[4,216,293],"advanced":[5],"capabilities":[6],"are":[7,141],"currently":[8],"in":[9,43,265,297],"development.":[10],"With":[11],"these":[12,28,286],"advancements":[13],"brings":[14],"to":[15,45,90,121,148,176,192,210,233,238,255,281],"light":[16],"the":[17,31,80,234,283],"importance":[18],"of":[19,27,33,39,105,109,117,125,136,285],"objectively":[20],"and":[21,25,69,73,83,93,101,107,127,144,163,197,241,247,273],"quantitatively":[22],"measuring":[23],"effectiveness":[24],"benefit":[26,87],"devices.":[29],"Recently,":[30],"application":[32],"motion":[34,76,98,111,173,260,266,290],"capture":[35,77,99,112,174,261,291],"(i.e.,":[36],"digital":[37],"tracking":[38,267,295],"upper":[40],"body":[41],"movements":[42],"space)":[44],"performance-based":[46,138],"outcome":[47,139,183],"measures":[48,140],"has":[49],"gained":[50],"traction":[51],"as":[52],"a":[53,102,170],"possible":[54],"tool":[55],"for":[56,288],"human":[57],"movement":[58],"assessment":[59],"that":[60,199,243,263],"could":[61],"facilitate":[62],"optimal":[63],"device":[64,71],"selection,":[65],"track":[66],"rehabilitative":[67],"progress,":[68],"inform":[70],"regulation":[72],"review.":[74],"While":[75],"shows":[78],"promise,":[79],"clinical,":[81],"regulatory,":[82],"industry":[84],"communities":[85],"would":[86],"from":[88,96,151,182,203,218],"access":[89],"large":[91],"clinical":[92,156],"normative":[94,126,133,152,162,204,219,246],"datasets":[95,124,166],"different":[97,110],"systems":[100,262,292],"better":[103],"understanding":[104],"advantages":[106],"limitations":[108],"approaches.":[113],"The":[114,132,206,251,269],"first":[115],"objective":[116,208,253],"this":[118],"dissertation":[119],"is":[120,146,189,209,254],"establish":[122],"kinematic":[123,134,186,195,213,274],"upper-limb":[128],"prosthesis":[129,248],"user":[130,249],"motion.":[131,205,220],"distributions":[135],"many":[137],"not":[142],"established,":[143],"it":[145,188],"difficult":[147,191],"determine":[149,239],"departures":[150,217],"patterns":[153],"without":[154],"relevant":[155,165],"expertise.":[157],"In":[158,221],"Specific":[159,222,298],"Aim":[160,223,299],"1,":[161],"clinically":[164],"were":[167],"created":[168],"using":[169],"gold":[171],"standard":[172],"system":[175],"record":[177],"participants":[178],"performing":[179],"standardized":[180],"tasks":[181,198,242,272],"measures.":[184],"Without":[185],"data,":[187],"also":[190],"identify":[193,211],"informative":[194,271],"features":[196],"exhibit":[200],"characteristic":[201],"differences":[202,287],"second":[207],"salient":[212],"characteristics":[214,275],"associated":[215],"2,":[224],"an":[225],"unsupervised":[226],"K-means":[227],"machine":[228],"learning":[229],"algorithm":[230],"was":[231],"applied":[232],"previously":[235,276],"collected":[236],"data":[237],"motions":[240],"distinguish":[244],"between":[245],"movement.":[250],"third":[252],"compare":[256],"three":[257],"commonly":[258],"used":[259,280],"vary":[264],"mechanisms.":[268],"most":[270],"identified":[277],"will":[278],"be":[279],"evaluate":[282],"detection":[284],"several":[289],"varying":[294],"methods":[296],"3.":[300]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}