{"id":"https://openalex.org/W2085552758","doi":"https://doi.org/10.1109/fg.2013.6553698","title":"Inferring hand pose: A comparative study of visual shape features","display_name":"Inferring hand pose: A comparative study of visual shape features","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2085552758","doi":"https://doi.org/10.1109/fg.2013.6553698","mag":"2085552758"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2013.6553698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","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/A5054898715","display_name":"Akshaya Thippur","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Akshaya Thippur","raw_affiliation_strings":["CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800415","display_name":"Carl Henrik Ek","orcid":"https://orcid.org/0000-0003-1302-6309"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Carl Henrik Ek","raw_affiliation_strings":["CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021003965","display_name":"Hedvig Kjellstr\u00f6m","orcid":"https://orcid.org/0000-0002-5750-9655"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hedvig Kjellstrom","raw_affiliation_strings":["CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP, KTH Royal Institute of Technology, Chinese Academy of Sciences, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054898715"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":3.178,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91952712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9934999942779541,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8047041893005371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810044288635254},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.7689660787582397},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7397616505622864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.70209139585495},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5849279761314392},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.506379246711731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4099181890487671},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.3085547685623169}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8047041893005371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810044288635254},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.7689660787582397},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7397616505622864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.70209139585495},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5849279761314392},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.506379246711731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4099181890487671},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.3085547685623169},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg.2013.6553698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/434c00bd-fe40-4990-94e9-76066b0ee4ee","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/434c00bd-fe40-4990-94e9-76066b0ee4ee","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Thippur, A, Ek, C H & Kjellstr\u00f6m, H 2013, Inferring hand pose: A comparative study of visual shape features. in IEEE International Conference on Automatic Face and Gesture Recognition. pp. 1-8.","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1500711968","https://openalex.org/W1684361744","https://openalex.org/W1994529670","https://openalex.org/W2022699039","https://openalex.org/W2057175746","https://openalex.org/W2069135200","https://openalex.org/W2079842261","https://openalex.org/W2096349671","https://openalex.org/W2096976709","https://openalex.org/W2109026452","https://openalex.org/W2122768476","https://openalex.org/W2123503110","https://openalex.org/W2125850087","https://openalex.org/W2131263044","https://openalex.org/W2137940226","https://openalex.org/W2151103935","https://openalex.org/W2152926413","https://openalex.org/W2153169563","https://openalex.org/W2153939756","https://openalex.org/W2158179171","https://openalex.org/W2159498975","https://openalex.org/W2161969291","https://openalex.org/W2162254475","https://openalex.org/W2165272793","https://openalex.org/W2165409253","https://openalex.org/W2165653644","https://openalex.org/W2168356304","https://openalex.org/W4211008118","https://openalex.org/W6629915298"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W3165753266"],"abstract_inverted_index":{"Hand":[0],"pose":[1,25,107,131,143],"estimation":[2,26,108],"from":[3,21,140],"video":[4],"is":[5,27,43,63,86,194],"essential":[6],"for":[7,71,105,126],"a":[8,39,56,64],"number":[9],"of":[10,34,36,59,68,77,96,137,156,162,175,188],"applications":[11,189],"such":[12],"as":[13,166,168],"automatic":[14],"sign":[15],"language":[16],"recognition":[17],"and":[18,61,109,128,160],"robot":[19],"learning":[20],"demonstration.":[22],"However,":[23],"hand":[24,41,79,106,127,142],"made":[28],"difficult":[29,87],"by":[30,150],"the":[31,37,78,135,138,141,146,151,157,163],"high":[32,66],"degree":[33,67],"articulation":[35],"hand;":[38],"realistic":[40],"model":[42],"described":[44],"with":[45],"at":[46],"least":[47],"35":[48],"dimensions,":[49],"which":[50,122,186],"means":[51],"that":[52],"it":[53,85],"can":[54],"assume":[55],"wide":[57],"variety":[58],"poses,":[60],"there":[62],"very":[65,81],"self":[69],"occlusion":[70],"most":[72],"poses.":[73],"Furthermore,":[74],"different":[75,117],"parts":[76],"display":[80],"similar":[82],"visual":[83,102,119,152,191],"appearance;":[84],"to":[88,145,171],"tell":[89],"fingers":[90],"apart":[91],"in":[92,154,173,185],"video.":[93],"These":[94],"properties":[95],"hands":[97],"put":[98],"hard":[99],"requirements":[100],"on":[101,179,184],"features":[103],"used":[104,125],"tracking.":[110],"In":[111],"this":[112],"paper,":[113],"we":[114,181],"evaluate":[115],"three":[116],"state-of-the-art":[118],"shape":[120,192],"descriptors,":[121,153],"are":[123],"commonly":[124],"human":[129],"body":[130],"estimation.":[132],"We":[133],"study":[134],"nature":[136],"mappings":[139],"space":[144],"feature":[147],"spaces":[148],"spanned":[149],"terms":[155,174],"smoothness,":[158],"discriminability,":[159],"generativity":[161],"pose-feature":[164],"mappings,":[165],"well":[167],"their":[169],"robustness":[170],"noise":[172],"these":[176],"properties.":[177],"Based":[178],"this,":[180],"give":[182],"recommendations":[183],"types":[187],"each":[190],"descriptor":[193],"suitable.":[195]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
