{"id":"https://openalex.org/W7129073815","doi":"https://doi.org/10.48550/arxiv.2602.13176","title":"Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace","display_name":"Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7129073815","doi":"https://doi.org/10.48550/arxiv.2602.13176"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.13176","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126141805","display_name":"Seth Donahue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donahue, Seth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126082767","display_name":"J. D. Peiffer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peiffer, J. D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038794577","display_name":"R. Tyler Richardson","orcid":"https://orcid.org/0000-0001-6449-6613"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richardson, R. Tyler","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103225696","display_name":"Yishan Zhong","orcid":"https://orcid.org/0000-0002-7010-4521"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Yishan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007563659","display_name":"Siyi Tan","orcid":"https://orcid.org/0000-0001-6956-3221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Shaun Q. Y.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089017848","display_name":"Benoit Marteau","orcid":"https://orcid.org/0000-0002-4177-7161"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marteau, Benoit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126168979","display_name":"Stephanie R. Russo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Russo, Stephanie R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030096887","display_name":"May D. Wang","orcid":"https://orcid.org/0000-0003-3961-3608"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, May D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126103590","display_name":"R. James Cotton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cotton, R. James","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029957084","display_name":"Ross S. Chafetz","orcid":"https://orcid.org/0000-0002-0347-977X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chafetz, Ross","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.6225000023841858,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.6225000023841858,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.07829999923706055,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.07599999755620956,"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/workspace","display_name":"Workspace","score":0.7576000094413757},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7163000106811523},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6416000127792358},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6215999722480774},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.5020999908447266},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4684999883174896},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4625999927520752}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8094000220298767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.795199990272522},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.7576000094413757},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7163000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779999732971191},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6416000127792358},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C2984588014","wikidata":"https://www.wikidata.org/wiki/Q730675","display_name":"Quantitative assessment","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.2720000147819519},{"id":"https://openalex.org/C104582849","wikidata":"https://www.wikidata.org/wiki/Q787282","display_name":"Automatic identification and data capture","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.13176","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.13176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.13176","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.13176","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"validate":[1],"a":[2,15,94,105,113,119,139,157,198],"clinically":[3,39],"accessible":[4],"approach":[5,251],"for":[6,27,37,44,70,203,207,225,239],"quantifying":[7],"the":[8,55,60,64,68,84,99,153,176,181,195,232,240,243],"Upper":[9],"Extremity":[10],"Reachable":[11],"Workspace":[12],"(UERW)":[13],"using":[14,112],"single":[16],"(monocular)":[17],"camera":[18,135,143,147,178,201],"and":[19,32,62,118,141],"Artificial":[20],"Intelligence":[21],"(AI)-driven":[22],"Markerless":[23],"Motion":[24],"Capture":[25],"(MMC)":[26],"biomechanical":[28],"analysis.":[29,50],"Objective":[30],"assessment":[31,241],"validation":[33,234],"of":[34,72,121,132,161,197,235,242,255],"these":[35,133],"techniques":[36],"specific":[38],"oriented":[40],"tasks":[41],"are":[42],"crucial":[43],"their":[45],"adoption":[46,58],"in":[47,59,104],"clinical":[48,75,223],"motion":[49,115,215],"AI-driven":[51],"monocular":[52,127,200,236],"MMC":[53,237],"reduces":[54],"barriers":[56],"to":[57,66,137],"clinic":[61],"has":[63],"potential":[65,224],"reduce":[67],"overhead":[69],"analysis":[71,129],"this":[73,250],"common":[74],"assessment.":[76,260],"Nine":[77],"adult":[78],"participants":[79],"with":[80,101,152,213],"no":[81],"impairments":[82],"performed":[83,126],"standardized":[85],"UERW":[86,204,244],"task,":[87],"which":[88],"entails":[89],"reaching":[90],"targets":[91,102],"distributed":[92],"across":[93],"virtual":[95],"sphere":[96],"centered":[97],"on":[98,130],"torso,":[100],"displayed":[103],"VR":[106],"headset.":[107],"Movements":[108],"were":[109],"simultaneously":[110],"captured":[111],"marker-based":[114,154,214],"capture":[116,216],"system":[117,238],"set":[120],"eight":[122],"FLIR":[123],"cameras.":[124],"We":[125],"video":[128,134],"two":[131],"views":[136],"compare":[138],"frontal":[140,146,199],"offset":[142,177],"configurations.":[144],"The":[145,192,219],"orientation":[148],"demonstrated":[149],"strong":[150],"agreement":[151,212],"reference,":[155],"exhibiting":[156],"minimal":[158],"mean":[159],"bias":[160],"$0.61":[162],"\\pm":[163,186],"0.12$":[164],"\\%":[165,188],"reachspace":[166,189],"reached":[167,184],"per":[168],"octanct":[169],"(mean":[170],"$\\pm$":[171],"standard":[172],"deviation).":[173],"In":[174],"contrast,":[175],"view":[179],"underestimated":[180],"percent":[182],"workspace":[183,209],"($-5.66":[185],"0.45$":[187],"reached).":[190],"Conclusion:":[191],"findings":[193],"support":[194],"feasibility":[196],"configuration":[202],"assessment,":[205],"particularly":[206],"anterior":[208],"evaluation":[210],"where":[211],"was":[217],"highest.":[218],"overall":[220],"performance":[221],"demonstrates":[222],"practical,":[226],"single-camera":[227],"assessments.":[228],"This":[229],"study":[230],"provides":[231],"first":[233],"task.":[245],"By":[246],"reducing":[247],"technical":[248],"complexity,":[249],"enables":[252],"broader":[253],"implementation":[254],"quantitative":[256],"upper":[257],"extremity":[258],"mobility":[259]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-17T00:00:00"}