{"id":"https://openalex.org/W4385729933","doi":"https://doi.org/10.1145/3594806.3594841","title":"Compacting MocapNET-based 3D Human Pose Estimation via Dimensionality Reduction","display_name":"Compacting MocapNET-based 3D Human Pose Estimation via Dimensionality Reduction","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4385729933","doi":"https://doi.org/10.1145/3594806.3594841"},"language":"en","primary_location":{"id":"doi:10.1145/3594806.3594841","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594806.3594841","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594806.3594841","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3594806.3594841","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012389839","display_name":"Ammar Qammaz","orcid":"https://orcid.org/0000-0002-1292-5866"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ammar Qammaz","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece and Computer Science Department, University of Crete, Greece"],"raw_orcid":"https://orcid.org/0000-0002-1292-5866","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece and Computer Science Department, University of Crete, Greece","institution_ids":["https://openalex.org/I8901234","https://openalex.org/I142617266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023467254","display_name":"Antonis Argyros","orcid":"https://orcid.org/0000-0001-8230-3192"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonis Argyros","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece and Computer Science Department, University of Crete, Greece"],"raw_orcid":"https://orcid.org/0000-0001-8230-3192","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece and Computer Science Department, University of Crete, Greece","institution_ids":["https://openalex.org/I8901234","https://openalex.org/I142617266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012389839"],"corresponding_institution_ids":["https://openalex.org/I142617266","https://openalex.org/I8901234"],"apc_list":null,"apc_paid":null,"fwci":0.2355,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51400381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"306","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9932000041007996,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9896000027656555,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8236472606658936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469884753227234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6433272957801819},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6009430885314941},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5500596165657043},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.49568450450897217},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4596113860607147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4521968960762024},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41628140211105347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40798258781433105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1607922911643982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15238642692565918}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8236472606658936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469884753227234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6433272957801819},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6009430885314941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5500596165657043},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.49568450450897217},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4596113860607147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4521968960762024},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41628140211105347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40798258781433105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1607922911643982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15238642692565918},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594806.3594841","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594806.3594841","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594806.3594841","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3594806.3594841","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594806.3594841","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594806.3594841","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G291906480","display_name":null,"funder_award_id":"101015848","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"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"},{"id":"https://openalex.org/G7840278993","display_name":null,"funder_award_id":"101015848","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385729933.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2005876975","https://openalex.org/W2032618685","https://openalex.org/W2057261601","https://openalex.org/W2112796928","https://openalex.org/W2141224535","https://openalex.org/W2560662850","https://openalex.org/W3106882556","https://openalex.org/W3157506437","https://openalex.org/W4200635596","https://openalex.org/W4236965008","https://openalex.org/W4243235940","https://openalex.org/W4292779060","https://openalex.org/W4302327172","https://openalex.org/W4305014655"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"Abstract.":[0],"MocapNETs":[1,49,74],"are":[2],"state":[3,79],"of":[4,23,56,80,110,135,153,157],"the":[5,21,81,108,142,146,154,167,174,194,211,219],"art":[6,82],"Neural":[7],"Network":[8],"(NN)":[9],"ensembles":[10],"that":[11],"estimate":[12],"3D":[13,33,57],"human":[14,42],"pose":[15],"based":[16],"on":[17,97,166,173,218],"visual":[18],"input":[19,136],"in":[20,187],"form":[22],"an":[24],"RGB":[25,68],"image.":[26],"They":[27],"do":[28],"so":[29],"by":[30,145],"deriving":[31],"a":[32,53,116,188],"Bio":[34],"Vision":[35],"Hierarchy":[36],"(BVH)":[37],"skeleton":[38],"from":[39,67],"estimated":[40],"2D":[41],"body":[43],"joint":[44],"projections.":[45],"BVH":[46,169,204],"output":[47],"makes":[48],"directly":[50,65],"compatible":[51],"with":[52],"large":[54],"variety":[55],"graphics":[58],"engines,":[59],"where":[60],"virtual":[61],"avatars":[62],"can":[63],"be":[64],"animated":[66],"sources":[69],"and":[70,78,122,128,202],"off-the-shelf":[71],"webcam":[72],"input.":[73],"have":[75],"satisfactory":[76],"accuracy":[77,207],"computational":[83],"performance":[84],"that,":[85],"however,":[86],"prior":[87],"to":[88,118,126,193],"this":[89,101],"work":[90],"was":[91],"not":[92],"sufficient":[93],"for":[94,178],"their":[95,120],"deployment":[96],"embedded":[98],"devices.":[99,130],"In":[100],"paper":[102],"we":[103],"explore":[104],"dimensionality":[105,184],"reduction":[106,134,152,185],"via":[107],"use":[109],"Principal":[111],"Components":[112],"Analysis":[113],"(PCA)":[114],"as":[115],"means":[117],"optimize":[119],"size":[121],"make":[123],"them":[124],"applicable":[125],"mobile":[127],"edge":[129],"PCA":[131],"allows":[132],"(a)":[133],"dimensionality,":[137],"(b)":[138],"fine-grained":[139],"control":[140],"over":[141],"variance":[143],"covered":[144],"maintained":[147],"dimensions":[148],"and,":[149],"(c)":[150],"drastic":[151],"total":[155],"number":[156],"model/network":[158],"parameters":[159],"without":[160,198,206],"compromising":[161],"regression":[162],"accuracy.":[163],"Extensive":[164],"experiments":[165],"CMU":[168],"dataset":[170],"provide":[171],"insight":[172],"effective":[175],"receptive":[176],"fields":[177],"densely":[179],"connected":[180],"networks.":[181],"Moreover,":[182],"PCA-based":[183],"results":[186],"35%":[189],"smaller":[190],"NN":[191,197,214],"compared":[192],"baseline":[195],"(original":[196],"any":[199],"dimension":[200],"reduction)":[201],"derives":[203],"skeletons":[205],"degradation.":[208],"As":[209],"such,":[210],"proposed":[212],"compact":[213],"solution":[215],"becomes":[216],"deployable":[217],"Raspberry":[220],"Pi":[221],"4":[222],"ARM":[223],"CPU":[224],"@":[225],"23Hz.":[226]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
