{"id":"https://openalex.org/W2891718801","doi":"https://doi.org/10.1007/s11263-018-1118-y","title":"Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation","display_name":"Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation","publication_year":2018,"publication_date":"2018-09-08","ids":{"openalex":"https://openalex.org/W2891718801","doi":"https://doi.org/10.1007/s11263-018-1118-y","mag":"2891718801"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-018-1118-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1118-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1118-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1118-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102830078","display_name":"Andrew Gilbert","orcid":"https://orcid.org/0000-0003-3898-0596"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrew Gilbert","raw_affiliation_strings":["CVSSP, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":"https://orcid.org/0000-0003-3898-0596","affiliations":[{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090342811","display_name":"Matthew Trumble","orcid":"https://orcid.org/0000-0002-4130-9528"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Trumble","raw_affiliation_strings":["CVSSP, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028114716","display_name":"Charles Malleson","orcid":"https://orcid.org/0000-0003-0649-3064"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charles Malleson","raw_affiliation_strings":["CVSSP, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016376222","display_name":"Adrian Hilton","orcid":"https://orcid.org/0000-0003-4223-238X"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adrian Hilton","raw_affiliation_strings":["CVSSP, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024767797","display_name":"John Collomosse","orcid":"https://orcid.org/0000-0003-3580-4685"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Collomosse","raw_affiliation_strings":["CVSSP, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102830078"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":{"value":3690,"currency":"USD","value_usd":3690},"fwci":3.4061,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.93341467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"127","issue":"4","first_page":"381","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9866999983787537,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9829999804496765,"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/computer-science","display_name":"Computer science","score":0.7858291864395142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7728460431098938},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7466893792152405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6674875020980835},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6276232004165649},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5544673800468445},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4422542154788971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4056062400341034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858291864395142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728460431098938},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7466893792152405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6674875020980835},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6276232004165649},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5544673800468445},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4422542154788971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4056062400341034}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11263-018-1118-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1118-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1118-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:alma.44SUR_INST:11139250290002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:epubs.surrey.ac.uk:849168","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/849168/1/Fusing%20Visual%20and%20Inertial%20Sensors%20with%20Semantics%20for%203D%20Human%20Pose%20Estimation.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11263-018-1118-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1118-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1118-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1147893575","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G263620438","display_name":"Total Capture","funder_award_id":"102685","funder_id":"https://openalex.org/F4320335087","funder_display_name":"Innovate UK"},{"id":"https://openalex.org/G3034362336","display_name":null,"funder_award_id":"EP/P022529/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4179231495","display_name":null,"funder_award_id":"EP/M028321/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5045220161","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891718801.pdf","grobid_xml":"https://content.openalex.org/works/W2891718801.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W4544403","https://openalex.org/W1542947501","https://openalex.org/W1772464306","https://openalex.org/W1810943226","https://openalex.org/W1861492603","https://openalex.org/W1924770834","https://openalex.org/W1947481528","https://openalex.org/W1950149599","https://openalex.org/W1964130324","https://openalex.org/W1967554269","https://openalex.org/W1993309788","https://openalex.org/W2017249118","https://openalex.org/W2018793343","https://openalex.org/W2027389517","https://openalex.org/W2052678124","https://openalex.org/W2064675550","https://openalex.org/W2079846689","https://openalex.org/W2080873731","https://openalex.org/W2083975035","https://openalex.org/W2089665312","https://openalex.org/W2099333815","https://openalex.org/W2101032778","https://openalex.org/W2102113734","https://openalex.org/W2108598243","https://openalex.org/W2112324691","https://openalex.org/W2113325037","https://openalex.org/W2125457700","https://openalex.org/W2131263044","https://openalex.org/W2145108814","https://openalex.org/W2152047877","https://openalex.org/W2154189068","https://openalex.org/W2158268505","https://openalex.org/W2161361693","https://openalex.org/W2163605009","https://openalex.org/W2293634267","https://openalex.org/W2333544554","https://openalex.org/W2404595106","https://openalex.org/W2424778531","https://openalex.org/W2467838519","https://openalex.org/W2495081533","https://openalex.org/W2519678806","https://openalex.org/W2520324844","https://openalex.org/W2554247908","https://openalex.org/W2554986796","https://openalex.org/W2555849634","https://openalex.org/W2559085405","https://openalex.org/W2573098616","https://openalex.org/W2583372902","https://openalex.org/W2583585015","https://openalex.org/W2605243700","https://openalex.org/W2612706635","https://openalex.org/W2737009841","https://openalex.org/W2754534665","https://openalex.org/W2784646928","https://openalex.org/W2810607340","https://openalex.org/W2892165078","https://openalex.org/W2949812103","https://openalex.org/W2951037516","https://openalex.org/W2952270885","https://openalex.org/W2953238046","https://openalex.org/W2963383668","https://openalex.org/W2963688992","https://openalex.org/W2963772981","https://openalex.org/W2964304707","https://openalex.org/W3114299688","https://openalex.org/W4251108253","https://openalex.org/W4301409532","https://openalex.org/W6641403377","https://openalex.org/W6903689481"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W4287122200","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2950785639","https://openalex.org/W4294967731","https://openalex.org/W2022566595"],"abstract_inverted_index":{"We":[0,175],"propose":[1],"an":[2],"approach":[3],"to":[4,43,120],"accurately":[5],"estimate":[6],"3D":[7,39,190],"human":[8],"pose":[9,46,54,68],"by":[10],"fusing":[11],"multi-viewpoint":[12,185],"video":[13],"(MVV)":[14],"with":[15,73,137],"inertial":[16],"measurement":[17],"unit":[18],"(IMU)":[19],"sensor":[20,125],"data,":[21],"without":[22],"optical":[23],"markers,":[24],"a":[25,30,37,45,60,74,83,107,168,197],"complex":[26],"hardware":[27],"setup":[28],"or":[29],"full":[31],"body":[32],"model.":[33],"Uniquely":[34],"we":[35],"use":[36],"multi-channel":[38],"convolutional":[40],"neural":[41],"network":[42],"learn":[44],"embedding":[47],"from":[48,56,196],"visual":[49,64],"occupancy":[50],"and":[51,82,91,167,188],"semantic":[52],"2D":[53],"estimates":[55],"the":[57,79,88,97,100,140,145,162,177],"MVV":[58,180],"in":[59,106,153],"discretised":[61],"volumetric":[62],"probabilistic":[63],"hull.":[65],"The":[66,112,202],"learnt":[67],"stream":[69],"is":[70,135,204],"concurrently":[71],"processed":[72],"forward":[75],"kinematic":[76],"solve":[77],"of":[78,139,171,184],"IMU":[80,187],"data":[81,115],"temporal":[84,92],"model":[85],"(LSTM)":[86],"exploits":[87],"rich":[89],"spatial":[90],"long":[93],"range":[94],"dependencies":[95],"among":[96],"solved":[98],"joints,":[99],"two":[101,113],"streams":[102],"are":[103],"then":[104],"fused":[105],"final":[108],"fully":[109],"connected":[110],"layer.":[111],"complementary":[114],"sources":[116],"allow":[117],"for":[118],"ambiguities":[119],"be":[121],"resolved":[122],"within":[123],"each":[124],"modality,":[126],"yielding":[127],"improved":[128],"accuracy":[129],"over":[130],"prior":[131],"methods.":[132],"Extensive":[133],"evaluation":[134],"performed":[136],"state":[138],"art":[141],"performance":[142],"reported":[143],"on":[144],"popular":[146],"Human":[147],"3.6M":[148],"dataset":[149,166,181,203],"(Ionescu":[150],"et":[151],"al.":[152],"Intell":[154],"IEEE":[155],"Trans":[156],"Pattern":[157],"Anal":[158],"Mach":[159],"36(7):1325\u20131339,":[160],"2014),":[161],"newly":[163],"released":[164],"TotalCapture":[165],"challenging":[169],"set":[170],"outdoor":[172],"videos":[173],"TotalCaptureOutdoor.":[174],"release":[176],"new":[178],"hybrid":[179],"(TotalCapture)":[182],"comprising":[183],"video,":[186],"accurate":[189],"skeletal":[191],"joint":[192],"ground":[193],"truth":[194],"derived":[195],"commercial":[198],"motion":[199],"capture":[200],"system.":[201],"available":[205],"online":[206],"at":[207],"http://cvssp.org/data/totalcapture/":[208],".":[209]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
