{"id":"https://openalex.org/W3206990310","doi":"https://doi.org/10.23919/wac50355.2021.9559598","title":"Analysis of Patella Movement and Posture During Knee Flexion Using a Depth Camera","display_name":"Analysis of Patella Movement and Posture During Knee Flexion Using a Depth Camera","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3206990310","doi":"https://doi.org/10.23919/wac50355.2021.9559598","mag":"3206990310"},"language":"en","primary_location":{"id":"doi:10.23919/wac50355.2021.9559598","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wac50355.2021.9559598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 World Automation Congress (WAC)","raw_type":"proceedings-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/A5046443044","display_name":"Atsunori Uesaka","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Atsunori Uesaka","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004948441","display_name":"Kouki Nagamune","orcid":"https://orcid.org/0000-0002-9744-8033"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouki Nagamune","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019321843","display_name":"Takehiko Matsushita","orcid":"https://orcid.org/0000-0001-6616-0398"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiko Matsushita","raw_affiliation_strings":["Kobe University Graduate School of Medicine, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University Graduate School of Medicine, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071471987","display_name":"Ryosuke Kuroda","orcid":"https://orcid.org/0000-0001-5097-7264"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Kuroda","raw_affiliation_strings":["Kobe University Graduate School of Medicine, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University Graduate School of Medicine, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046443044"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12107609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11018","display_name":"Lower Extremity Biomechanics and Pathologies","score":0.9994999766349792,"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/T11018","display_name":"Lower Extremity Biomechanics and Pathologies","score":0.9994999766349792,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/patella","display_name":"Patella","score":0.6982313394546509},{"id":"https://openalex.org/keywords/palpation","display_name":"Palpation","score":0.6171769499778748},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.6143370270729065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6047892570495605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6031002998352051},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.548555850982666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378413200378418},{"id":"https://openalex.org/keywords/ligament","display_name":"Ligament","score":0.4126827120780945},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4008808434009552},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.3793543577194214},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.19170302152633667}],"concepts":[{"id":"https://openalex.org/C2780368125","wikidata":"https://www.wikidata.org/wiki/Q229081","display_name":"Patella","level":2,"score":0.6982313394546509},{"id":"https://openalex.org/C2781167935","wikidata":"https://www.wikidata.org/wiki/Q795090","display_name":"Palpation","level":2,"score":0.6171769499778748},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6143370270729065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6047892570495605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6031002998352051},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.548555850982666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378413200378418},{"id":"https://openalex.org/C2779753412","wikidata":"https://www.wikidata.org/wiki/Q39888","display_name":"Ligament","level":2,"score":0.4126827120780945},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4008808434009552},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.3793543577194214},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19170302152633667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wac50355.2021.9559598","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wac50355.2021.9559598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 World Automation Congress (WAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1985221059","https://openalex.org/W2000018820","https://openalex.org/W2001449192"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W3083084699","https://openalex.org/W3012182724","https://openalex.org/W2091943821","https://openalex.org/W3171899115","https://openalex.org/W3126266918"],"abstract_inverted_index":{"The":[0],"knee":[1,146,201,284],"joint":[2,7],"is":[3,10,30,38,80,108,239,294],"a":[4,67,111,125,135,212,233],"very":[5],"disease-prone":[6],"because":[8],"it":[9,65,293],"deeply":[11],"involved":[12],"in":[13,103,148,235,256,279,287],"the":[14,18,23,33,41,75,78,97,106,122,140,143,153,158,163,166,198,205,218,222,236,243,257,261,265,276,298,302,305],"extension":[15,202],"mechanism.":[16],"In":[17,62,82,190],"case":[19],"of":[20,25,35,46,77,99,131,142,155,207,221,242,264,301,307,318],"patella":[21,47,119,144,167,199,223,244,266,277,303,319],"dislocation,":[22],"rate":[24],"ligament":[26],"damage":[27],"after":[28],"dislocation":[29,48,120],"high,":[31],"and":[32,43,72,74,92,117,151,185,203,209,211,252,255,304],"possibility":[34],"serious":[36],"injury":[37],"high.":[39,268],"Currently,":[40],"diagnosis":[42,90],"analysis":[44,253,308],"method":[45],"are":[49],"performed":[50],"using":[51,124,174,311],"diagnostic":[52,63],"imaging":[53],"or":[54],"palpation.":[55],"However,":[56],"these":[57],"methods":[58],"have":[59],"some":[60],"disadvantages.":[61],"imaging,":[64],"takes":[66],"long":[68],"time":[69],"to":[70,86,96,109,138,196,216,296],"diagnose":[71,116],"analyze,":[73],"burden":[76],"patient":[79],"heavy.":[81],"palpation,":[83],"doctors":[84],"tend":[85],"be":[87],"subjective":[88],"about":[89],"results":[91,309],"time-series":[93],"recovery":[94],"due":[95],"loss":[98],"quantitative":[100],"parameters.":[101],"Therefore,":[102],"this":[104,312],"study,":[105],"goal":[107],"develop":[110,134],"system":[112,136,313],"that":[113,137,275],"can":[114,247],"easily":[115],"analyze":[118,152,204],"from":[121,162,229],"shape":[123,141,224],"depth":[126,164],"camera.":[127],"As":[128,232,269,290],"preparatory":[129],"step":[130],"this,":[132],"we":[133,246,273],"detect":[139,197],"during":[145,200,283],"flexion":[147,285],"healthy":[149,288],"subjects":[150,193],"amount":[154,206],"move.":[156],"Using":[157],"point":[159,219],"cloud":[160,220],"acquired":[161],"camera,":[165],"was":[168,214,267],"detected":[169],"mainly":[170],"by":[171],"3D":[172,227],"registration":[173,228],"Fast":[175],"Point":[176,188],"Feature":[177],"Histograms":[178],"(FPFH)":[179],"features,":[180],"Random":[181],"Sample":[182],"Consensus":[183],"(RANSAC)":[184],"Iterative":[186],"Closest":[187],"(ICP).":[189],"experiment,":[191],"three":[192],"were":[194],"used":[195,215],"movement":[208],"posture,":[210],"model":[213],"extract":[217],"needed":[225],"for":[226,314],"one":[230],"subject.":[231],"result,":[234],"subject":[237,241],"who":[238],"same":[240],"model,":[245],"get":[248],"highly":[249],"accurate":[250],"detection":[251,262,299],"results,":[254],"other":[258],"two":[259],"subjects,":[260],"accuracy":[263,300],"an":[270],"overall":[271],"trend,":[272],"found":[274],"moved":[278],"external":[280],"rotation":[281],"direction":[282],"even":[286],"subjects.":[289],"future":[291],"works,":[292],"necessary":[295],"investigate":[297],"tendency":[306],"when":[310],"patients":[315],"with":[316],"symptoms":[317],"dislocation.":[320]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
