{"id":"https://openalex.org/W2741713923","doi":"https://doi.org/10.4018/ijmdem.2017100101","title":"Multi-Sensor Motion Fusion Using Deep Neural Network Learning","display_name":"Multi-Sensor Motion Fusion Using Deep Neural Network Learning","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2741713923","doi":"https://doi.org/10.4018/ijmdem.2017100101","mag":"2741713923"},"language":"en","primary_location":{"id":"doi:10.4018/ijmdem.2017100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2017100101","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-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/A5054279552","display_name":"Xinyao Sun","orcid":"https://orcid.org/0000-0003-3073-4462"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xinyao Sun","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054810403","display_name":"Anup Basu","orcid":"https://orcid.org/0000-0002-7695-4148"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anup Basu","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058927498","display_name":"Irene Cheng","orcid":"https://orcid.org/0000-0001-9699-4895"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Irene Cheng","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.2069,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5240854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"4","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9943000078201294,"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":0.825648307800293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071162462234497},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6251871585845947},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5714709758758545},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5465136170387268},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5117244720458984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5105906128883362},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5026652812957764},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4788082242012024},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.463340163230896},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.45022034645080566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34428995847702026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825648307800293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071162462234497},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6251871585845947},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5714709758758545},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5465136170387268},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5117244720458984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5105906128883362},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5026652812957764},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4788082242012024},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.463340163230896},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.45022034645080566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34428995847702026},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijmdem.2017100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2017100101","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jmdem0:v:8:y:2017:i:4:p:1-18","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMDEM.2017100101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1500711968","https://openalex.org/W1533861849","https://openalex.org/W1702419847","https://openalex.org/W1952857803","https://openalex.org/W1979564657","https://openalex.org/W1986211501","https://openalex.org/W1990729232","https://openalex.org/W2004074725","https://openalex.org/W2016053056","https://openalex.org/W2034626455","https://openalex.org/W2039604658","https://openalex.org/W2062804138","https://openalex.org/W2064675550","https://openalex.org/W2075156252","https://openalex.org/W2086781328","https://openalex.org/W2093414253","https://openalex.org/W2095705004","https://openalex.org/W2100642335","https://openalex.org/W2106410133","https://openalex.org/W2130942839","https://openalex.org/W2141125852","https://openalex.org/W2143612262","https://openalex.org/W2144792281","https://openalex.org/W2163605009","https://openalex.org/W2164416728","https://openalex.org/W2181936530","https://openalex.org/W2214145768","https://openalex.org/W2352466810","https://openalex.org/W2394932179","https://openalex.org/W2401518610","https://openalex.org/W2466332079","https://openalex.org/W2536557366","https://openalex.org/W2574199794","https://openalex.org/W3106225689","https://openalex.org/W4256121890","https://openalex.org/W6631190155","https://openalex.org/W6669567237","https://openalex.org/W7042882495"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Hand":[0],"pose":[1,52,74,105],"estimation":[2,53,75],"for":[3],"a":[4,72],"continuous":[5],"sequence":[6],"has":[7,38],"been":[8],"an":[9,102],"important":[10],"topic":[11],"not":[12],"only":[13],"in":[14],"computer":[15],"vision":[16],"but":[17],"also":[18,139],"human-computer-interaction.":[19],"Exploring":[20],"the":[21,58],"feasibility":[22],"to":[23,27,100],"use":[24],"hand":[25,51,73,104],"gestures":[26],"replace":[28],"input":[29],"devices,":[30],"e.g.,":[31],"mouse,":[32],"keyboard,":[33],"joy-stick":[34],"and":[35,44,68,98,127,130,133,135],"touch":[36],"screen,":[37],"attracted":[39],"increasing":[40],"attention":[41],"from":[42,93],"academic":[43],"industrial":[45],"researchers.":[46],"The":[47],"fast":[48],"advancement":[49],"of":[50,61],"techniques":[54],"is":[55],"complemented":[56],"by":[57],"rapid":[59],"development":[60],"smart":[62],"sensors":[63,95],"technology":[64],"such":[65],"as":[66],"Kinect":[67],"Leap.":[69],"We":[70],"introduce":[71],"multi-sensor":[76],"system.":[77],"Two":[78],"tracking":[79],"models":[80,112],"are":[81,96,138],"proposed":[82],"based":[83],"on":[84],"Deep":[85],"(Recurrent)":[86],"Neural":[87],"Network":[88],"(DRNN)":[89],"architecture.":[90],"Data":[91],"captured":[92],"different":[94],"analyzed":[97],"fused":[99],"produce":[101],"optimal":[103],"sequence.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"our":[111],"outperform":[113],"previous":[114],"methods":[115],"with":[116],"better":[117],"accuracy,":[118],"meeting":[119],"real-time":[120],"application":[121],"requirement.":[122],"Performance":[123],"comparisons":[124],"between":[125],"DNN":[126],"DRNN,":[128],"spatial":[129],"spatial-temporal":[131],"features,":[132],"single-":[134],"dual-":[136],"sensors,":[137],"presented.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
