{"id":"https://openalex.org/W3215084072","doi":null,"title":"Constructing a reference standard for sports science and clinical movement sets using IMU-based motion capture technology","display_name":"Constructing a reference standard for sports science and clinical movement sets using IMU-based motion capture technology","publication_year":2021,"publication_date":"2021-10-28","ids":{"openalex":"https://openalex.org/W3215084072","mag":"3215084072"},"language":"en","primary_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10136742","doi":null,"is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10136742/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doctoral thesis, UCL (University College London).","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5065161277","display_name":"Thomas Gilbert","orcid":"https://orcid.org/0000-0002-8846-8593","observed_orcids":["https://orcid.org/0000-0002-8846-8593"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas Gilbert","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8846-8593","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5065161277"],"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.4406999945640564,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.4406999945640564,"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/T12290","display_name":"Human Motion and Animation","score":0.17080000042915344,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.10689999908208847,"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/inertial-measurement-unit","display_name":"inertial measurement unit","score":0.9020000100135803},{"id":"https://openalex.org/keywords/reference-materials","display_name":"reference materials","score":0.621999979019165},{"id":"https://openalex.org/keywords/shaolin-kung-fu","display_name":"Shaolin kung fu","score":0.8960000276565552},{"id":"https://openalex.org/keywords/parkinson-s-disease","display_name":"Parkinson's disease","score":0.9150000214576721},{"id":"https://openalex.org/keywords/motion-classification","display_name":"movement classification","score":0.5509999990463257},{"id":"https://openalex.org/keywords/complementary-filter","display_name":"complementary filter","score":0.7860000133514404},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6639999747276306},{"id":"https://openalex.org/keywords/sequential-forward-feature-selection","display_name":"sequential forward feature selection","score":0.9070000052452087},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6650000214576721},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8960000276565552},{"id":"https://openalex.org/keywords/low-cost-motion-sensing","display_name":"low-cost motion sensing","score":0.5479999780654907},{"id":"https://openalex.org/keywords/sports-movement-analysis","display_name":"sports movement analysis","score":0.6800000071525574},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.3230000138282776}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6974722743034363},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6444932222366333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552733302116394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525109171867371},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5369446277618408},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.46410903334617615},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.45441919565200806},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4408728778362274},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4390827715396881},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.42987480759620667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.404785692691803},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.37253865599632263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15389317274093628},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14836320281028748},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10122472047805786},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10136742","doi":null,"is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10136742/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doctoral thesis, UCL (University College London).","raw_type":"Thesis"},{"id":"mag:3215084072","doi":null,"is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10136742/","pdf_url":null,"source":{"id":"https://openalex.org/S4306508231","display_name":"Doctoral thesis, UCL (University College London).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Doctoral thesis, UCL (University College London).","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W49315792","https://openalex.org/W198462414","https://openalex.org/W203345490","https://openalex.org/W1215311137","https://openalex.org/W1531332991","https://openalex.org/W1532325895","https://openalex.org/W1538161032","https://openalex.org/W1953802779","https://openalex.org/W1970732661","https://openalex.org/W1979378996","https://openalex.org/W1988117573","https://openalex.org/W1994508094","https://openalex.org/W1994978432","https://openalex.org/W2003596156","https://openalex.org/W2007057255","https://openalex.org/W2014629664","https://openalex.org/W2030061193","https://openalex.org/W2032222593","https://openalex.org/W2034244045","https://openalex.org/W2036566878","https://openalex.org/W2045872081","https://openalex.org/W2046746659","https://openalex.org/W2058593603","https://openalex.org/W2062677035","https://openalex.org/W2063565218","https://openalex.org/W2067993536","https://openalex.org/W2072557468","https://openalex.org/W2095562258","https://openalex.org/W2104020497","https://openalex.org/W2114954755","https://openalex.org/W2117973875","https://openalex.org/W2118449726","https://openalex.org/W2120852116","https://openalex.org/W2129067615","https://openalex.org/W2134254232","https://openalex.org/W2135215819","https://openalex.org/W2137226036","https://openalex.org/W2140978740","https://openalex.org/W2142289638","https://openalex.org/W2142641998","https://openalex.org/W2143267104","https://openalex.org/W2143712591","https://openalex.org/W2144593983","https://openalex.org/W2144831580","https://openalex.org/W2145546283","https://openalex.org/W2180144887","https://openalex.org/W2333544554","https://openalex.org/W2336416123","https://openalex.org/W2511678682","https://openalex.org/W2604137468","https://openalex.org/W2605243700","https://openalex.org/W2605451350","https://openalex.org/W2606815493","https://openalex.org/W2746104834","https://openalex.org/W2777696964","https://openalex.org/W2811350363","https://openalex.org/W2909812311","https://openalex.org/W2972392072","https://openalex.org/W2978216219","https://openalex.org/W3016618935","https://openalex.org/W3088412635","https://openalex.org/W3092471994"],"related_works":["https://openalex.org/W3047150829","https://openalex.org/W7062253026","https://openalex.org/W6945512533","https://openalex.org/W4401181714","https://openalex.org/W3172283789","https://openalex.org/W4403268921","https://openalex.org/W4414231761","https://openalex.org/W4396623795","https://openalex.org/W2784205750","https://openalex.org/W7067721222"],"abstract_inverted_index":{"Motion":[0],"analysis":[1,65,132,281,372],"has":[2,137,218,261,282,292,300,314,462,474],"improved":[3],"greatly":[4],"over":[5,153],"the":[6,9,28,71,124,181,231,235,265,286,308,334,377,387,423,428,435,452,458,464,471,475,499,504,510,524],"years":[7],"through":[8,222],"development":[10],"of":[11,30,89,148,180,190,225,237,273,297,348,352,357,362,367,380,390,449,527],"low-cost":[12],"inertia":[13],"sensors.":[14],"Such":[15],"sensors":[16],"have":[17,245],"shown":[18],"promising":[19],"accuracy":[20,347],"for":[21,55,178,311],"both":[22,59,482],"sport":[23],"and":[24,49,62,86,105,120,229,277,307,359,425,434,447,486,493,521],"medical":[25],"applications,":[26],"facilitating":[27],"possibility":[29],"a":[31,97,114,165,207,223,226,257,271,278,295,350,354,360,401,419,431,437,479],"new":[32],"reference":[33,480],"standard":[34,274,481],"to":[35,67,103,264,375,409,457,477,503],"be":[36],"constructed.":[37],"Current":[38],"gold":[39,324],"standards":[40],"within":[41,58],"motion":[42,100],"capture,":[43],"such":[44],"as":[45,83,384,386],"high-speed":[46],"camera-based":[47],"systems":[48,217],"image":[50],"processing,":[51],"are":[52],"not":[53],"suitable":[54],"many":[56],"movement-sets":[57],"sports":[60,484],"science":[61,485],"clinical":[63,487],"movement":[64,72,109,198,488],"due":[66,502],"restrictions":[68,75],"introduced":[69],"by":[70,156,164,206,234],"sets.":[73],"These":[74,517],"include":[76],"cost,":[77],"portability,":[78],"local":[79],"environment":[80],"constraints":[81,232],"(such":[82],"light":[84],"level)":[85],"poor":[87],"line":[88],"sight":[90],"accessibility.":[91],"This":[92,135],"thesis":[93],"focusses":[94],"on":[95,256,303,422,463],"developing":[96],"magnetometer-less":[98],"IMU-based":[99,472],"capturing":[101],"system":[102,473,500],"detect":[104],"classify":[106],"two":[107,182],"challenging":[108],"sets:":[110],"Basic":[111],"stances":[112],"during":[113],"Shaolin":[115,142,167,266,327],"Kung":[116,143,168,267,328],"Fu":[117,144,169,268,329],"dynamic":[118,150],"form,":[119],"severity":[121,192],"levels":[122,193],"from":[123,248,285,509],"modified":[125,172,186,201,287,394],"UPDRS":[126,173,187,202,288,395],"(Unified":[127],"Parkinson\u2019s":[128],"Disease":[129],"Rating":[130],"Scale)":[131],"tapping":[133],"exercise.":[134],"project":[136,291,453],"contributed":[138,294,454],"three":[139],"datasets.":[140],"The":[141,160,185,200,212,290,317,326,393,414],"dataset":[145,161,203,313,330],"is":[146],"comprised":[147,189],"5":[149,191],"movements":[151,238],"repeated":[152,417],"350":[154],"times":[155],"8":[157],"experienced":[158],"practitioners.":[159],"was":[162,204,331,373,468],"labelled":[163,205],"professional":[166],"master.":[170],"Two":[171],"datasets":[174,188,306,396],"were":[175,320,397,416,496,519],"constructed,":[176],"one":[177],"each":[179,194,249,312],"locations":[183,441],"measured.":[184],"with":[195,215,322,333,418,427],"100":[196],"self-emulated":[197],"samples.":[199],"researcher":[208],"in":[209,240,483,498,523],"neuropsychological":[210],"assessment.":[211],"errors":[213],"associated":[214],"IMU":[216,381,391],"been":[219,246,262,283,301,315],"reduced":[220],"significantly":[221],"combination":[224,272],"Complementary":[227],"filter":[228],"applying":[230],"imposed":[233],"range":[236],"available":[239],"human":[241],"joints.":[242],"Novel":[243],"features":[244,276],"extracted":[247,284],"dataset.":[250,269],"A":[251,364],"piecewise":[252],"feature":[253,371],"set":[254],"based":[255],"moving":[258],"window":[259],"approach":[260,366],"applied":[263],"While":[270],"statistical":[275],"Durbin":[279],"Watson":[280],"measurements.":[289],"also":[293],"comparison":[296],"24":[298],"models":[299,319],"done":[302],"all":[304],"3":[305],"optimal":[309,388],"model":[310],"determined.":[316],"resulting":[318,344],"commensurate":[321],"current":[323],"standards.":[325],"classified":[332,399],"computational":[335],"costly":[336],"fine":[337],"decision":[338],"tree":[339],"algorithm":[340,405],"using":[341,368,400],"400":[342],"splits,":[343],"in:":[345],"an":[346,443,455],"98.9%,":[349],"precision":[351],"96.9%,":[353],"recall":[355],"value":[356],"99.1%,":[358],"F1-score":[361,448],"98.0%.":[363],"novel":[365],"sequential":[369],"forward":[370],"used":[374],"determine":[376],"minimum":[378],"number":[379,389],"devices":[382,511],"required":[383],"well":[385],"devices.":[392],"then":[398],"support":[402],"vector":[403],"machine":[404],"requiring":[406,430],"various":[407],"kernels":[408],"achieve":[410],"their":[411],"highest":[412],"accuracies.":[413],"measurements":[415],"sensor":[420,460],"located":[421],"wrist":[424,429],"finger,":[426],"linear":[432],"kernel":[433],"finger":[436],"quadratic":[438],"kernel.":[439],"Both":[440],"achieved":[442],"accuracy,":[444],"precision,":[445],"recall,":[446],"99.2%.":[450],"Additionally,":[451],"evaluation":[456],"effect":[459],"location":[461],"proposed":[465],"models.":[466],"It":[467],"concluded":[469],"that":[470],"potential":[476],"construct":[478],"analysis.":[489],"Data":[490],"protection":[491],"security":[492],"communication":[494],"speeds":[495],"limitations":[497,518],"constructed":[501],"measured":[505],"data":[506],"being":[507],"transferred":[508],"via":[512],"Bluetooth":[513],"Low":[514],"Energy":[515],"communication.":[516],"considered":[520],"evaluated":[522],"future":[525],"works":[526],"this":[528],"project.":[529]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-12-06T00:00:00"}