{"id":"https://openalex.org/W3039515371","doi":"https://doi.org/10.1145/3389189.3398005","title":"Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera","display_name":"Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3039515371","doi":"https://doi.org/10.1145/3389189.3398005","mag":"3039515371"},"language":"en","primary_location":{"id":"doi:10.1145/3389189.3398005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3398005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","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/A5064630658","display_name":"Fotios Lygerakis","orcid":"https://orcid.org/0000-0001-8044-3511"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fotios Lygerakis","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018283613","display_name":"Athanasios C. Tsitos","orcid":null},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanasios C. Tsitos","raw_affiliation_strings":["NCSR Demokritos"],"affiliations":[{"raw_affiliation_string":"NCSR Demokritos","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031672975","display_name":"Maria Dagioglou","orcid":"https://orcid.org/0000-0002-3357-2844"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Dagioglou","raw_affiliation_strings":["NCSR Demokritos"],"affiliations":[{"raw_affiliation_string":"NCSR Demokritos","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044363105","display_name":"Fillia Makedon","orcid":"https://orcid.org/0009-0001-8831-6872"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fillia Makedon","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018887199","display_name":"Vangelis Karkaletsis","orcid":"https://orcid.org/0000-0002-7062-9424"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vangelis Karkaletsis","raw_affiliation_strings":["NCSR Demokritos"],"affiliations":[{"raw_affiliation_string":"NCSR Demokritos","institution_ids":["https://openalex.org/I203474044"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064630658"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61156483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.991100013256073,"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":0.8056284785270691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7921242713928223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7685221433639526},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7553302645683289},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.6489828824996948},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6130078434944153},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5891250371932983},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.47841888666152954},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.43737709522247314},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.39210131764411926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0963205099105835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056284785270691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7921242713928223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7685221433639526},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7553302645683289},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.6489828824996948},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6130078434944153},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5891250371932983},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.47841888666152954},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.43737709522247314},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.39210131764411926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0963205099105835},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3389189.3398005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3398005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5799999833106995},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G6896693178","display_name":null,"funder_award_id":"?-12149","funder_id":"https://openalex.org/F4320322565","funder_display_name":"Stavros Niarchos Foundation"},{"id":"https://openalex.org/G8068252002","display_name":null,"funder_award_id":"1719031","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320322565","display_name":"Stavros Niarchos Foundation","ror":"https://ror.org/0210rze73"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W231035755","https://openalex.org/W1501380514","https://openalex.org/W1539761902","https://openalex.org/W1940424785","https://openalex.org/W2006905283","https://openalex.org/W2056644810","https://openalex.org/W2097544529","https://openalex.org/W2137940226","https://openalex.org/W2140820489","https://openalex.org/W2554437167","https://openalex.org/W2559085405","https://openalex.org/W2618852836","https://openalex.org/W2768769039","https://openalex.org/W2798581336","https://openalex.org/W2897765997","https://openalex.org/W2901136733","https://openalex.org/W2954572199","https://openalex.org/W2962811204","https://openalex.org/W2962926199","https://openalex.org/W2963488642","https://openalex.org/W2964304707","https://openalex.org/W2985632725","https://openalex.org/W2994660296","https://openalex.org/W2997581345","https://openalex.org/W4229856339","https://openalex.org/W4240153047"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2139993144","https://openalex.org/W2161214141","https://openalex.org/W2326117494","https://openalex.org/W2102645302","https://openalex.org/W1970280380","https://openalex.org/W3171829319","https://openalex.org/W3213413335"],"abstract_inverted_index":{"Safe":[0],"and":[1,58,65,83,103,125],"efficient":[2],"Human-Robot":[3],"Collaboration":[4],"(HRC)":[5],"requires":[6],"recognizing":[7],"human":[8,25,32],"collaborators":[9],"intention.":[10],"Hand":[11],"pose":[12,34],"kinematics":[13],"early":[14],"on":[15],"an":[16],"ongoing":[17],"movement":[18],"can":[19],"provide":[20],"information":[21,110],"for":[22,31,80],"predicting":[23],"future":[24],"actions.":[26],"Accurate":[27],"state-of-the-art":[28],"methods":[29],"used":[30],"hand":[33,119],"estimation":[35],"are":[36,59],"either":[37],"marker-based":[38],"or":[39],"make":[40],"use":[41,92],"of":[42,128],"multiple":[43],"cameras":[44],"set":[45],"around":[46],"the":[47,54,62,68,81,99,108,113,123],"workspace.":[48,66],"These":[49],"approaches":[50],"introduce":[51],"inconvenience":[52],"to":[53,61,86,94,116],"user,":[55],"necessitate":[56],"calibration":[57],"bounded":[60],"specific":[63],"set-up":[64],"On":[67],"other":[69],"hand,":[70],"using":[71],"a":[72],"single":[73],"RGB-D":[74,114],"camera":[75,115],"would":[76],"be":[77],"less":[78,84],"obtrusive":[79],"user":[82],"cumbersome":[85],"install.":[87],"In":[88],"this":[89],"work,":[90],"we":[91,104],"OpenPose":[93],"extract":[95],"2D":[96],"keypoints":[97],"from":[98,112],"RGB":[100],"raw":[101],"image":[102],"combine":[105],"them":[106],"with":[107],"depth":[109],"acquired":[111],"obtain":[117],"3D":[118],"poses.":[120,135],"We":[121],"evaluate":[122],"accuracy":[124],"discrimination":[126],"ability":[127],"our":[129],"method":[130],"in":[131],"ten":[132],"different":[133],"static":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}