{"id":"https://openalex.org/W2919873476","doi":"https://doi.org/10.1109/cspis.2018.8642792","title":"Characterizing and Compensating for Errors in a Leap Motion using PCA","display_name":"Characterizing and Compensating for Errors in a Leap Motion using PCA","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2919873476","doi":"https://doi.org/10.1109/cspis.2018.8642792","mag":"2919873476"},"language":"en","primary_location":{"id":"doi:10.1109/cspis.2018.8642792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cspis.2018.8642792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Information Security (ICSPIS)","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/A5031374462","display_name":"Hussein Walugembe","orcid":"https://orcid.org/0000-0003-1146-4639"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hussein Walugembe","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025098665","display_name":"Christopher Phillips","orcid":"https://orcid.org/0000-0002-9601-0128"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris Phillips","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026903199","display_name":"Jes\u00fas Requena Carri\u00f3n","orcid":"https://orcid.org/0000-0003-4667-3342"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Requena-Carri\u00f3n","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015381151","display_name":"Tijana Timotijevic","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tijana Timotijevic","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031374462"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.3622,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63135551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7593533396720886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301267147064209},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.591806173324585},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5723180770874023},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5677554607391357},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5281367897987366},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4624936878681183},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4386243522167206},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33731523156166077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1217336654663086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593533396720886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301267147064209},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.591806173324585},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5723180770874023},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5677554607391357},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5281367897987366},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4624936878681183},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4386243522167206},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33731523156166077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1217336654663086},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cspis.2018.8642792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cspis.2018.8642792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1492815834","https://openalex.org/W2018204822","https://openalex.org/W2048874204","https://openalex.org/W2063470376","https://openalex.org/W2144481990","https://openalex.org/W2162522697","https://openalex.org/W2339176273","https://openalex.org/W2540981342","https://openalex.org/W2554035097","https://openalex.org/W2771479773","https://openalex.org/W2795997429","https://openalex.org/W3204438512","https://openalex.org/W4247099999","https://openalex.org/W6629626063","https://openalex.org/W6746536935"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2120801881","https://openalex.org/W1982853263","https://openalex.org/W1974473538","https://openalex.org/W2020010749","https://openalex.org/W2796116650"],"abstract_inverted_index":{"This":[0],"paper":[1],"concerns":[2],"a":[3,10,18,46,61,79,126,138],"rehabilitation":[4,47,213],"framework":[5],"that":[6,179,191],"makes":[7],"use":[8],"of":[9,81,87,92,103,150],"low":[11],"cost":[12],"\"off-the-shelf\"":[13],"device.":[14],"The":[15,119,175],"device":[16],"is":[17,60,122,144,183],"visual":[19],"markerless":[20],"sensor":[21],"system":[22],"called":[23],"the":[24,32,69,85,88,104,108,117,148,151,161,168,180,206,209],"Leap":[25],"Motion":[26],"controller":[27],"(LM).":[28],"However,":[29],"before":[30],"deploying":[31],"LM,":[33],"we":[34,77,154],"investigate":[35],"its":[36],"accuracy":[37,86],"and":[38,53,57,101,186,198],"limitations":[39],"in":[40,90,129],"measuring":[41],"finger":[42,72],"joint":[43,73],"angles.":[44],"During":[45,71],"procedure,":[48],"patients":[49],"will":[50],"be":[51,188,196,203],"flexing":[52],"extending":[54],"their":[55],"fingers":[56],"accurate":[58,124,193],"feedback":[59,201],"prerequisite":[62],"for":[63,172,211],"them":[64],"to":[65,83,107,147,160,165,205],"benefit":[66],"effectively":[67],"from":[68],"exercises.":[70],"angle":[74],"error":[75,152],"analysis,":[76,153],"conducted":[78],"series":[80],"experiments":[82],"assess":[84],"LM":[89,162,210],"terms":[91],"parameters":[93],"like":[94],"elevation,":[95],"lateral":[96],"(side-to-side)":[97],"positioning,":[98,100],"forward-backward":[99],"rotation":[102],"hand":[105,121,128,132,212],"relative":[106],"LM.":[109,118],"We":[110],"used":[111],"an":[112],"\"artist's":[113],"hand\"":[114],"placed":[115],"above":[116],"artist's":[120],"more":[123],"than":[125],"human":[127],"performing":[130],"static":[131],"gestures":[133],"as":[134,141,143],"it":[135],"can":[136,170,187,195,202],"maintain":[137],"fixed":[139],"posture":[140],"long":[142],"necessary.":[145],"According":[146],"results":[149,177],"apply":[155],"Principal":[156],"Component":[157],"Analysis":[158],"(PCA)":[159],"raw":[163],"data":[164],"see":[166],"whether":[167],"algorithm":[169,182],"compensate":[171],"these":[173],"errors.":[174],"experimental":[176],"show":[178],"PCA":[181],"feasible,":[184],"effective":[185],"applied":[189],"such":[190],"fairly":[192],"measurements":[194],"obtained":[197],"therefore":[199],"suitable":[200],"provided":[204],"patient":[207],"using":[208],"purposes.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}