{"id":"https://openalex.org/W7119208618","doi":"https://doi.org/10.1016/j.cosrev.2025.100878","title":"Low-rank completion for motion capture data recovery: Approaches, constraints, and algorithms","display_name":"Low-rank completion for motion capture data recovery: Approaches, constraints, and algorithms","publication_year":2026,"publication_date":"2026-01-07","ids":{"openalex":"https://openalex.org/W7119208618","doi":"https://doi.org/10.1016/j.cosrev.2025.100878"},"language":"en","primary_location":{"id":"doi:10.1016/j.cosrev.2025.100878","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cosrev.2025.100878","pdf_url":null,"source":{"id":"https://openalex.org/S73121659","display_name":"Computer Science Review","issn_l":"1574-0137","issn":["1574-0137","1876-7745"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cosrev.2025.100878","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Souad Mohaoui","orcid":"https://orcid.org/0009-0001-2751-7881"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Souad Mohaoui","raw_affiliation_strings":["School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"raw_orcid":"https://orcid.org/0009-0001-2751-7881","affiliations":[{"raw_affiliation_string":"School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080280125","display_name":"Andrii Dmytryshyn","orcid":"https://orcid.org/0000-0001-9110-6182"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]},{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andrii Dmytryshyn","raw_affiliation_strings":["Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden","School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912","https://openalex.org/I881427289"]},{"raw_affiliation_string":"School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":{"value":3300,"currency":"USD","value_usd":3300},"apc_paid":{"value":3300,"currency":"USD","value_usd":3300},"fwci":12.7794,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95032501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"100878","last_page":"100878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.21299999952316284,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.21299999952316284,"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"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.12449999898672104,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.12290000170469284,"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/motion-capture","display_name":"Motion capture","score":0.9165999889373779},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8140000104904175},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.6270999908447266},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6230999827384949},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5760999917984009},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.541700005531311},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5303999781608582},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.49630001187324524},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/automatic-identification-and-data-capture","display_name":"Automatic identification and data capture","score":0.4009999930858612}],"concepts":[{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.9165999889373779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8450999855995178},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8140000104904175},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6270999908447266},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6230999827384949},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5655999779701233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5523999929428101},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.49630001187324524},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C104582849","wikidata":"https://www.wikidata.org/wiki/Q787282","display_name":"Automatic identification and data capture","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.375900000333786},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30570000410079956},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2766000032424927},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.27129998803138733},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cosrev.2025.100878","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cosrev.2025.100878","pdf_url":null,"source":{"id":"https://openalex.org/S73121659","display_name":"Computer Science Review","issn_l":"1574-0137","issn":["1574-0137","1876-7745"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.cosrev.2025.100878","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cosrev.2025.100878","pdf_url":null,"source":{"id":"https://openalex.org/S73121659","display_name":"Computer Science Review","issn_l":"1574-0137","issn":["1574-0137","1876-7745"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4597826672","display_name":null,"funder_award_id":"2021-05393","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G830001947","display_name":null,"funder_award_id":"CTS 22:2196","funder_id":"https://openalex.org/F4320321501","funder_display_name":"Carl Tryggers Stiftelse f\u00f6r Vetenskaplig Forskning"}],"funders":[{"id":"https://openalex.org/F4320321501","display_name":"Carl Tryggers Stiftelse f\u00f6r Vetenskaplig Forskning","ror":"https://ror.org/048p4fn82"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W564195451","https://openalex.org/W1963826206","https://openalex.org/W1965508245","https://openalex.org/W1967138577","https://openalex.org/W1968154520","https://openalex.org/W1969698720","https://openalex.org/W1971329174","https://openalex.org/W1984739677","https://openalex.org/W1993482030","https://openalex.org/W2000215628","https://openalex.org/W2024165284","https://openalex.org/W2027801633","https://openalex.org/W2034139177","https://openalex.org/W2043360443","https://openalex.org/W2045377163","https://openalex.org/W2051230289","https://openalex.org/W2052415866","https://openalex.org/W2056488622","https://openalex.org/W2057624533","https://openalex.org/W2060204507","https://openalex.org/W2060970792","https://openalex.org/W2082639035","https://openalex.org/W2090214813","https://openalex.org/W2096045964","https://openalex.org/W2100185540","https://openalex.org/W2103972604","https://openalex.org/W2118550318","https://openalex.org/W2124608575","https://openalex.org/W2142732157","https://openalex.org/W2144481990","https://openalex.org/W2145962650","https://openalex.org/W2187214659","https://openalex.org/W2233376955","https://openalex.org/W2406354600","https://openalex.org/W2410894298","https://openalex.org/W2476635087","https://openalex.org/W2554408731","https://openalex.org/W2600509566","https://openalex.org/W2790552352","https://openalex.org/W2792270354","https://openalex.org/W2810789236","https://openalex.org/W2878990729","https://openalex.org/W2891512399","https://openalex.org/W2897585146","https://openalex.org/W2897585580","https://openalex.org/W2901836533","https://openalex.org/W2913935587","https://openalex.org/W2917797431","https://openalex.org/W2932563367","https://openalex.org/W2936443816","https://openalex.org/W2998656915","https://openalex.org/W3019843676","https://openalex.org/W3048664086","https://openalex.org/W3100006985","https://openalex.org/W3104899156","https://openalex.org/W3108210782","https://openalex.org/W3139177490","https://openalex.org/W3171243408","https://openalex.org/W3213352264","https://openalex.org/W4206996224","https://openalex.org/W4220714701","https://openalex.org/W4283276026","https://openalex.org/W4292363360","https://openalex.org/W4296902748","https://openalex.org/W4322761564","https://openalex.org/W4381785331","https://openalex.org/W4384339367","https://openalex.org/W4385626869","https://openalex.org/W4386869589","https://openalex.org/W4389104871","https://openalex.org/W4394994405","https://openalex.org/W4396802919","https://openalex.org/W4399302847","https://openalex.org/W4399451919","https://openalex.org/W4403115248","https://openalex.org/W4404238228","https://openalex.org/W4408157424","https://openalex.org/W4409841274","https://openalex.org/W4410224310","https://openalex.org/W4411863628","https://openalex.org/W4414223553"],"related_works":[],"abstract_inverted_index":{"Motion":[0],"capture":[1],"(MoCap)":[2],"systems":[3,35],"are":[4],"indispensable":[5],"tools":[6,246],"across":[7],"fields":[8],"such":[9,230],"as":[10,134,136,231,240,242],"biomechanics,":[11],"computer":[12],"animation,":[13],"human-robot":[14],"interaction,":[15],"and":[16,27,42,69,83,113,141,148,205,208,217,237,245],"clinical":[17],"gait":[18],"analysis,":[19],"owing":[20],"to":[21,24,40,45,53,65,88,105,126,157],"their":[22],"ability":[23],"accurately":[25],"record":[26],"analyze":[28],"human":[29,47,116,132],"movement":[30,133],"in":[31,56,77,90,249],"3D":[32],"space.":[33],"Marker-based":[34],"use":[36],"reflective":[37],"markers":[38,52],"attached":[39],"subjects":[41],"video":[43],"recordings":[44],"track":[46],"movement.":[48,117],"The":[49],"tracking":[50],"requires":[51],"be":[54],"detected":[55],"the":[57,85,111,127,137,145,184,243,250],"video,":[58],"which":[59,199,211],"is":[60],"not":[61],"always":[62],"possible":[63],"due":[64,125],"occlusions,":[66],"sensor":[67],"failures,":[68],"limited":[70],"camera":[71],"coverage.":[72],"These":[73,179],"issues":[74],"create":[75],"gaps":[76],"recorded":[78],"trajectories,":[79],"compromising":[80],"data":[81,99,120,171,186],"integrity":[82],"making":[84],"motion":[86,119,206],"difficult":[87],"utilize":[89],"practical":[91],"applications.":[92],"Therefore,":[93],"a":[94,122],"wide":[95],"range":[96],"of":[97,115,131],"MoCap":[98,170],"completion":[100,152,167,187,228],"techniques":[101,153],"has":[102],"been":[103],"proposed":[104],"reconstruct":[106,158],"missing":[107,159,185],"trajectories":[108],"while":[109],"preserving":[110],"realism":[112],"dynamics":[114],"Human":[118],"exhibits":[121],"low-rank":[123,166,177,209],"property":[124,156],"inherent":[128],"repetitive":[129],"nature":[130],"well":[135,241],"correlations":[138,214],"between":[139],"joints":[140],"markers,":[142],"enforced":[143],"by":[144],"skeletal":[146],"structure":[147],"biomechanical":[149],"constraints.":[150],"Low-rank":[151],"exploit":[154,212],"this":[155],"marker":[160],"positions.":[161],"This":[162],"paper":[163],"reviews":[164],"state-of-the-art":[165],"methods":[168],"for":[169,225],"completion,":[172],"focusing":[173],"specifically":[174],"on":[175],"optimization-based":[176],"methods.":[178],"optimization":[180,190,223],"approaches":[181],"directly":[182],"address":[183],"problem":[188],"through":[189,215],"formulations.":[191,219],"We":[192,220],"examine":[193],"two":[194],"main":[195],"aspects:":[196],"kinematic":[197],"priors,":[198,210],"embed":[200],"anatomical":[201],"constraints,":[202],"joint":[203],"dependencies,":[204],"smoothness,":[207],"inter-marker":[213],"matrix":[216],"tensor":[218],"further":[221],"evaluate":[222],"algorithms":[224],"solving":[226],"these":[227],"problems,":[229],"alternating":[232],"minimization,":[233],"proximal":[234],"algorithms,":[235],"ADMM,":[236],"hybrid":[238],"schemes,":[239],"datasets":[244],"commonly":[247],"used":[248],"literature.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}
