{"id":"https://openalex.org/W2055269703","doi":"https://doi.org/10.1145/2617841.2620710","title":"Multi-sensor data fusion for hand tracking using Kinect and Leap Motion","display_name":"Multi-sensor data fusion for hand tracking using Kinect and Leap Motion","publication_year":2014,"publication_date":"2014-04-09","ids":{"openalex":"https://openalex.org/W2055269703","doi":"https://doi.org/10.1145/2617841.2620710","mag":"2055269703"},"language":"en","primary_location":{"id":"doi:10.1145/2617841.2620710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2617841.2620710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Virtual Reality International Conference","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/A5089266129","display_name":"Beno\u00eet Penelle","orcid":"https://orcid.org/0000-0001-8779-0786"},"institutions":[{"id":"https://openalex.org/I132053463","display_name":"Universit\u00e9 Libre de Bruxelles","ror":"https://ror.org/01r9htc13","country_code":"BE","type":"education","lineage":["https://openalex.org/I132053463"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Beno\u00eet Penelle","raw_affiliation_strings":["Universit\u00e9 Libre de Bruxelles (ULB), Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Libre de Bruxelles (ULB), Brussels, Belgium","institution_ids":["https://openalex.org/I132053463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046265328","display_name":"Olivier Debeir","orcid":"https://orcid.org/0000-0002-6461-1551"},"institutions":[{"id":"https://openalex.org/I132053463","display_name":"Universit\u00e9 Libre de Bruxelles","ror":"https://ror.org/01r9htc13","country_code":"BE","type":"education","lineage":["https://openalex.org/I132053463"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Olivier Debeir","raw_affiliation_strings":["Universit\u00e9 Libre de Bruxelles (ULB), Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Libre de Bruxelles (ULB), Brussels, Belgium","institution_ids":["https://openalex.org/I132053463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089266129"],"corresponding_institution_ids":["https://openalex.org/I132053463"],"apc_list":null,"apc_paid":null,"fwci":1.7796,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83835979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11840","display_name":"Pain Management and Treatment","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"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/T11840","display_name":"Pain Management and Treatment","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9940000176429749,"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":0.9772999882698059,"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/computer-vision","display_name":"Computer vision","score":0.850408673286438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7364466786384583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323296070098877},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6068657636642456},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5707108378410339},{"id":"https://openalex.org/keywords/illusion","display_name":"Illusion","score":0.5167807340621948},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.5048254132270813},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4985389709472656},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.49007856845855713},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47980573773384094},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.4106450378894806}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.850408673286438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7364466786384583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323296070098877},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6068657636642456},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5707108378410339},{"id":"https://openalex.org/C184047640","wikidata":"https://www.wikidata.org/wiki/Q182593","display_name":"Illusion","level":2,"score":0.5167807340621948},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.5048254132270813},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4985389709472656},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.49007856845855713},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47980573773384094},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.4106450378894806},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2617841.2620710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2617841.2620710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Virtual Reality International Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:dipot.ulb.ac.be:2013/163271","is_oa":false,"landing_page_url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/163271","pdf_url":null,"source":{"id":"https://openalex.org/S4306401063","display_name":"D\u00e9p\u00f4t institutionnel de l'Universit\u00e9 libre de Bruxelles (Universit\u00e9 Libre de Bruxelles)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132053463","host_organization_name":"Universit\u00e9 Libre de Bruxelles","host_organization_lineage":["https://openalex.org/I132053463"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Laval Virtual VRIC\u201914","raw_type":"info:ulb-repo/semantics/openurl/proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1584304824","https://openalex.org/W2039604658","https://openalex.org/W2041094000","https://openalex.org/W2049981393","https://openalex.org/W2057588442","https://openalex.org/W2100642335","https://openalex.org/W2107283705","https://openalex.org/W2132627850","https://openalex.org/W2145143840"],"related_works":["https://openalex.org/W3196329781","https://openalex.org/W4207023496","https://openalex.org/W585325435","https://openalex.org/W4317826877","https://openalex.org/W2648057","https://openalex.org/W2032880931","https://openalex.org/W2740961807","https://openalex.org/W4322774593","https://openalex.org/W2083041801","https://openalex.org/W2075600294"],"abstract_inverted_index":{"Often":[0],"presented":[1],"as":[2],"competing":[3],"products":[4],"on":[5],"the":[6,13,16,32,60,72,79,93,97,104,110,120,135,138,140,145,154,162,164,172,175,179,184,187,192,204,207,216,223,228,237,243,247],"market":[7],"of":[8,34,62,78,96,137,144,171,183,189,191,203],"low":[9],"cost":[10],"3D":[11,76],"sensors,":[12],"Kinect\u2122":[14],"and":[15,40,181,206],"Leap":[17,158],"Motion\u2122":[18],"(LM)":[19],"can":[20],"actually":[21],"be":[22],"complementary":[23],"in":[24,29,67,81,106,149,186],"some":[25,150],"scenario.":[26],"We":[27,219],"promote,":[28],"this":[30],"paper,":[31],"fusion":[33,50,225],"data":[35],"acquired":[36],"by":[37,231],"both":[38],"LM":[39,185],"Kinect":[41,73,238],"sensors":[42],"to":[43,53,87,103,124,134,152,161,166,199,241],"improve":[44,215],"hand":[45,205],"tracking":[46,170,229],"performances.":[47],"The":[48,117,157],"sensor":[49,224,239],"is":[51],"applied":[52],"an":[54],"existing":[55],"augmented":[56],"reality":[57],"system":[58,163,197],"targeting":[59],"treatment":[61],"phantom":[63],"limb":[64,69],"pain":[65,155],"(PLP)":[66],"upper":[68],"amputees.":[70],"With":[71],"we":[74,194],"acquire":[75,242],"images":[77,84],"patient":[80,105,118],"real-time.":[82],"These":[83],"are":[85],"post-processed":[86],"apply":[88],"a":[89],"mirror":[90],"effect":[91],"along":[92],"sagittal":[94],"plane":[95],"body,":[98],"before":[99],"being":[100],"displayed":[101],"back":[102],"3D,":[107],"giving":[108],"him":[109],"illusion":[111],"that":[112,222],"he":[113],"has":[114],"two":[115],"arms.":[116],"uses":[119],"virtual":[121,131,210],"reconstructed":[122],"arm":[123,147],"perform":[125,167],"given":[126],"tasks":[127],"involving":[128],"interactions":[129,202],"with":[130,209],"objects.":[132],"Thanks":[133],"plasticity":[136],"brain,":[139],"restored":[141],"visual":[142],"feedback":[143],"missing":[146],"allows,":[148],"cases,":[151],"reduce":[153],"intensity.":[156],"Motion":[159],"brings":[160],"ability":[165],"accurate":[168],"motion":[169],"hand,":[173],"including":[174],"fingers.":[176],"By":[177],"registering":[178],"position":[180],"orientation":[182],"frame":[188],"reference":[190],"Kinect,":[193],"make":[195],"our":[196],"able":[198],"accurately":[200],"detect":[201],"fingers":[208],"objects,":[211],"which":[212],"will":[213],"greatly":[214],"user":[217],"experience.":[218],"also":[220],"show":[221],"nicely":[226],"extends":[227],"domain":[230],"supplying":[232],"finger":[233],"positions":[234],"even":[235],"when":[236],"fails":[240],"depth":[244],"values":[245],"for":[246],"hand.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}