{"id":"https://openalex.org/W2969712494","doi":null,"title":"Motor Control For Human Jumping To A Target","display_name":"Motor Control For Human Jumping To A Target","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2969712494","mag":"2969712494"},"language":"en","primary_location":{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/14683","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14683","pdf_url":"http://hdl.handle.net/10012/14683","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10012/14683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082637531","display_name":"Kevin Westermann","orcid":"https://orcid.org/0000-0002-1359-4229","observed_orcids":["https://orcid.org/0000-0002-1359-4229"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kevin Westermann","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1359-4229","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5082637531"],"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":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.0027000000700354576,"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.0006000000284984708,"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/motor-control","display_name":"motor control","score":0.6940000057220459},{"id":"https://openalex.org/keywords/motor-learning","display_name":"motor learning","score":0.7889999747276306},{"id":"https://openalex.org/keywords/dynamic-movement","display_name":"dynamic movement","score":0.36500000953674316},{"id":"https://openalex.org/keywords/center-of-mass-trajectory","display_name":"center of mass trajectory","score":0.6660000085830688},{"id":"https://openalex.org/keywords/take-off-velocity","display_name":"take-off velocity","score":0.859000027179718},{"id":"https://openalex.org/keywords/foot-placement","display_name":"foot placement","score":0.8140000104904175},{"id":"https://openalex.org/keywords/inverse-optimal-control","display_name":"inverse optimal control","score":0.7459999918937683},{"id":"https://openalex.org/keywords/sliding-window-optimization","display_name":"sliding window optimization","score":0.48399999737739563},{"id":"https://openalex.org/keywords/expert-novice-differences","display_name":"expert-novice differences","score":0.6449999809265137},{"id":"https://openalex.org/keywords/movement-variability","display_name":"movement variability","score":0.7770000100135803},{"id":"https://openalex.org/keywords/standing-long-jump","display_name":"standing long jump","score":0.621999979019165},{"id":"https://openalex.org/keywords/human-robot-interaction","display_name":"human-robot interaction","score":0.6460000276565552},{"id":"https://openalex.org/keywords/humanoid-robot-control","display_name":"humanoid robot control","score":0.5789999961853027},{"id":"https://openalex.org/keywords/rehabilitation","display_name":"rehabilitation","score":0.3149999976158142},{"id":"https://openalex.org/keywords/sports-training","display_name":"sports training","score":0.7900000214576721},{"id":"https://openalex.org/keywords/ballistic-trajectory","display_name":"ballistic trajectory","score":0.5139999985694885}],"concepts":[{"id":"https://openalex.org/C2779897013","wikidata":"https://www.wikidata.org/wiki/Q1151752","display_name":"Jumping","level":2,"score":0.8132866621017456},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44531798362731934},{"id":"https://openalex.org/C137813230","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor control","level":2,"score":0.44014376401901245},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.34212321043014526},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3095807433128357},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27396178245544434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22853678464889526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18358391523361206},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1740720570087433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1440834403038025},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/14683","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14683","pdf_url":"http://hdl.handle.net/10012/14683","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},{"id":"mag:2969712494","doi":null,"is_oa":false,"landing_page_url":"https://uwspace.uwaterloo.ca/bitstream/10012/14683/3/Westermann_Kevin.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/14683","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14683","pdf_url":"http://hdl.handle.net/10012/14683","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969712494.pdf","grobid_xml":"https://content.openalex.org/works/W2969712494.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W170804327","https://openalex.org/W1496321300","https://openalex.org/W1509235676","https://openalex.org/W1549690437","https://openalex.org/W1574514837","https://openalex.org/W1593988141","https://openalex.org/W1966224911","https://openalex.org/W1998425584","https://openalex.org/W2000075291","https://openalex.org/W2002204150","https://openalex.org/W2002672812","https://openalex.org/W2017325967","https://openalex.org/W2021150169","https://openalex.org/W2026044248","https://openalex.org/W2037997802","https://openalex.org/W2041684917","https://openalex.org/W2043132255","https://openalex.org/W2044667258","https://openalex.org/W2044951073","https://openalex.org/W2053589959","https://openalex.org/W2053936014","https://openalex.org/W2070935310","https://openalex.org/W2089644250","https://openalex.org/W2093188224","https://openalex.org/W2107308405","https://openalex.org/W2114855835","https://openalex.org/W2143140724","https://openalex.org/W2155141792","https://openalex.org/W2198775391","https://openalex.org/W2265414744","https://openalex.org/W2276380667","https://openalex.org/W2462015191","https://openalex.org/W2613306754","https://openalex.org/W2737702598","https://openalex.org/W2885376917","https://openalex.org/W2999729612"],"related_works":["https://openalex.org/W3038745890","https://openalex.org/W1584967321","https://openalex.org/W107267460","https://openalex.org/W2435010071","https://openalex.org/W2668802010","https://openalex.org/W2095098128","https://openalex.org/W2326155281","https://openalex.org/W2514287385","https://openalex.org/W6927171276","https://openalex.org/W3144652193"],"abstract_inverted_index":{"Investigating":[0],"how":[1,30],"humans":[2,31],"perform":[3,32,116],"dynamic":[4,33,52,84,724],"movements":[5,34],"is":[6,109,169],"important":[7],"for":[8,50,81,126,137,292,302,375,567,575,597,692],"applications":[9],"such":[10],"as":[11,28,77,398,613,631],"movement":[12,37,74,93,111],"rehabilitation,":[13],"sports":[14],"training,":[15],"humanoid":[16],"robot":[17],"design":[18],"and":[19,21,41,62,103,178,207,242,274,280,335,343,381,485,520,590,605,626,668,671],"control,":[20],"human-robot":[22],"interaction.":[23],"There":[24],"are":[25,57,682],"several":[26],"hypotheses":[27,291],"to":[29,59,71,98,106,131,174,186,194,214,233,267,289,352,358,373,384,422,460,488,515,526,577,611,622,650,695,705,716],"based":[35,144,480],"on":[36,145,157,387,481],"variability,":[38],"task":[39,60,147,594,602,609],"optimization,":[40],"motor":[42,65,85,128,179,305,463,553,572,592,678,685,719],"learning":[43,66],"concepts.":[44],"This":[45,167],"thesis":[46,168],"develops":[47],"a":[48,72,99,107,110,123,134,187,294,321,568,578,696],"methodology":[49],"analyzing":[51,706],"movements,":[53],"determining":[54],"what":[55,462],"factors":[56],"crucial":[58],"success,":[61,138],"understanding":[63],"the":[64,78,89,92,170,176,182,235,243,271,285,312,325,328,336,339,346,360,365,388,416,439,469,475,550,586,598,616,634,639,718],"process.":[67],"\\n":[68,189,308,452,580,637,698],"\\nThe":[69,309],"jumping":[70,105,130,152,161,272,317,433,576,694,707],"target":[73,108,132,518],"was":[75,192,265,405,446,458,644],"chosen":[76],"exemplar":[79],"motion":[80,196,222,318],"investigating":[82,127],"human":[83,151,490,725],"control":[86,180,306,412,423,464,483,554,573,593,601,608,686,720],"because":[87],"of":[88,142,181,199,218,239,245,253,316,330,338,345,441,474,503,560,674,722],"following":[90],"reasons:":[91],"difficulty":[94],"can":[95,115,367,619,689,702],"be":[96,350,620,660,690,703,714],"scaled":[97],"person's":[100],"physical":[101],"characteristics":[102],"ability;":[104],"that":[112,408,559,688],"many":[113],"people":[114],"but":[117],"few":[118],"have":[119],"practiced,":[120],"making":[121,431],"it":[122,404],"good":[124],"candidate":[125],"learning;":[129],"has":[133,154],"clear":[135],"metric":[136],"enabling":[139],"novice-expert":[140],"classification":[141],"participants":[143,201,658],"objective":[146,476],"performance.":[148,522],"Additionally,":[149],"existing":[150],"research":[153],"focused":[155],"primarily":[156],"maximum":[158,163],"height":[159,540],"vertical":[160],"or":[162,677,713],"distance":[164],"long":[165],"jumping.":[166],"first":[171],"known":[172],"work":[173],"investigate":[175],"kinematics":[177],"standing":[183],"broad":[184],"jump":[185,275,504,516,521,653,675],"target.":[188,362,389,579,697],"\\nAn":[190],"experiment":[191,657],"conducted":[193],"collect":[195],"capture":[197,223],"data":[198,224],"22":[200],"(ages":[202],"19-34":[203],"years,":[204],"9":[205],"females":[206],"13":[208],"males),":[209],"each":[210,240],"performing":[211],"12":[212],"jumps":[213],"three":[215],"specified":[216],"targets":[217],"various":[219],"distances.":[220],"These":[221],"were":[225,249,287,420,478,498,512,524,582,672],"used":[226,288,459,645,691,715],"with":[227],"Extended":[228],"Kalman":[229],"Filter":[230],"pose":[231,372,427,629],"estimation":[232],"extract":[234],"kinematic":[236,262,313,587,635],"joint":[237],"trajectories":[238,248,255,273,319],"jump,":[241],"center":[244],"mass":[246],"(CoM)":[247],"then":[250,256],"computed.":[251],"Analysis":[252],"these":[254],"proceeded":[257],"in":[258,284,377,507,615,633,709],"two":[259],"stages.":[260],"A":[261],"trajectory":[263,314,357,383,588],"analysis":[264,315,700],"performed":[266,400],"identify":[268,651],"trends":[269],"between":[270,324,585],"success.":[276],"The":[277,341,471,492,562],"identified":[278,614],"trends,":[279],"other":[281,723],"information":[282],"found":[283],"literature,":[286],"generate":[290,353],"using":[293],"sliding":[295,454,641],"window":[296,455,642],"Inverse":[297],"Optimal":[298],"Control":[299],"(IOC)":[300],"approach":[301,457,564,643],"identifying":[303],"optimized":[304,538],"tasks.":[307],"findings":[310],"from":[311],"suggest":[320],"strong":[322],"relation":[323],"jumper":[326,366],"controlling":[327,623],"velocity":[329,348,380,445,530,600,607,625],"their":[331,369,378,409,424,442,546,552],"CoM":[332,382,395,443,528,539,599],"at":[333],"takeoff":[334,347,379,396,444,532,604,624],"success":[337,434,547,676],"jump.":[340],"angle":[342],"magnitude":[344],"must":[349],"matched":[351],"an":[354],"appropriate":[355],"ballistic":[356],"reach":[359],"desired":[361],"At":[363],"landing,":[364,612],"use":[368],"foot":[370,410,425,627],"placement":[371,411,426,628],"correct":[374],"inaccuracy":[376],"still":[385],"land":[386],"Novice":[390],"jumpers":[391,419,466,544],"demonstrated":[392],"more":[393,401,428,533,556],"consistent":[394],"velocities":[397],"they":[399],"jumps,":[402],"however":[403],"less":[406],"likely":[407],"improved":[413,545],"noticeably":[414],"during":[415,549],"study.":[417],"Expert":[418],"observed":[421,513,525,632],"effectively,":[429],"therefore":[430],"higher":[432],"rates":[435],"possible":[436],"even":[437],"when":[438],"variability":[440],"greater":[447],"than":[448,534],"some":[449],"novice":[450,535,543,667],"jumpers.":[451],"\\nA":[453],"IOC":[456,494,563,591,617,640],"estimate":[461],"tasks":[465,484],"optimize":[467,527],"throughout":[468],"movement.":[470],"cost":[472,495,509],"terms":[473],"function":[477],"designed":[479],"jumping-specific":[482],"criteria":[486],"relevant":[487],"general":[489,570,684],"motion.":[491],"recovered":[493],"term":[496,510],"weights":[497,511],"averaged":[499],"over":[500],"different":[501],"sets":[502],"features.":[505],"Changes":[506],"average":[508],"relative":[514],"grade,":[517],"distance,":[519],"Experts":[523],"forward":[529],"before":[531,603],"jumpers,":[536,670],"who":[537],"more.":[541],"As":[542],"rate":[548],"experiment,":[551],"behavior":[555],"closely":[557],"resembled":[558],"experts.":[561],"demonstrates":[565],"evidence":[566],"repeatable,":[569],"optimal":[571],"method":[574],"\\nParallels":[581],"also":[583],"drawn":[584],"results":[589],"results.":[595],"Optimizing":[596],"toe":[606],"prior":[610],"results,":[618],"related":[621],"respectively,":[630],"analysis.":[636],"\\nFinally,":[638],"alongside":[646],"unsupervised":[647],"clustering":[648],"techniques":[649],"four":[652],"styles":[654],"into":[655],"which":[656],"could":[659],"categorized":[661],"into.":[662],"All":[663],"style":[664],"groups":[665],"included":[666],"expert":[669],"independent":[673],"learning,":[679],"suggesting":[680],"there":[681],"multiple":[683],"patterns":[687],"successfully":[693],"\\nThis":[699],"framework":[701],"extended":[704],"motions":[708],"varied":[710],"environment":[711],"conditions,":[712],"define":[717],"methods":[721],"motions.":[726]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2019-08-29T00:00:00"}
