{"id":"https://openalex.org/W2964216094","doi":"https://doi.org/10.1109/icpr.2016.7899599","title":"Large-scale Isolated Gesture Recognition using Convolutional Neural Networks","display_name":"Large-scale Isolated Gesture Recognition using Convolutional Neural Networks","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2964216094","doi":"https://doi.org/10.1109/icpr.2016.7899599","mag":"2964216094"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5042680345","display_name":"Pichao Wang","orcid":"https://orcid.org/0000-0002-1430-0237"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pichao Wang","raw_affiliation_strings":["Advanced Multimedia Research Lab, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Multimedia Research Lab, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695040","display_name":"Wanqing Li","orcid":"https://orcid.org/0000-0002-4427-2687"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanqing Li","raw_affiliation_strings":["Advanced Multimedia Research Lab, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Multimedia Research Lab, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339604","display_name":"Song Liu","orcid":"https://orcid.org/0000-0003-0519-226X"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Song Liu","raw_affiliation_strings":["Advanced Multimedia Research Lab, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Multimedia Research Lab, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066142993","display_name":"Zhimin Gao","orcid":"https://orcid.org/0000-0002-2450-492X"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhimin Gao","raw_affiliation_strings":["Advanced Multimedia Research Lab, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Multimedia Research Lab, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081319088","display_name":"Philip Ogunbona","orcid":"https://orcid.org/0000-0003-4119-2873"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Philip Ogunbona","raw_affiliation_strings":["Advanced Multimedia Research Lab, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Multimedia Research Lab, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.8759,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.99358252,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7858971357345581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297690510749817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7273292541503906},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.683898389339447},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6817636489868164},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5935326814651489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5858975648880005},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5322328209877014},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5170764923095703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48020943999290466},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4680682420730591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4615914821624756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14613282680511475},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0694538950920105}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7858971357345581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297690510749817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7273292541503906},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.683898389339447},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6817636489868164},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5935326814651489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5858975648880005},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5322328209877014},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5170764923095703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48020943999290466},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4680682420730591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4615914821624756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14613282680511475},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0694538950920105},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W285204629","https://openalex.org/W846669277","https://openalex.org/W1506859583","https://openalex.org/W1522734439","https://openalex.org/W1596216457","https://openalex.org/W1686810756","https://openalex.org/W1874503286","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W1950788856","https://openalex.org/W1964357740","https://openalex.org/W1983364832","https://openalex.org/W2001696967","https://openalex.org/W2008824967","https://openalex.org/W2047612595","https://openalex.org/W2051469172","https://openalex.org/W2085735683","https://openalex.org/W2086663212","https://openalex.org/W2091911422","https://openalex.org/W2140897751","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2294438834","https://openalex.org/W2307035320","https://openalex.org/W2344034899","https://openalex.org/W2345221990","https://openalex.org/W2442651457","https://openalex.org/W2462996230","https://openalex.org/W2473575226","https://openalex.org/W2475715656","https://openalex.org/W2526041356","https://openalex.org/W2554408731","https://openalex.org/W2607799870","https://openalex.org/W2608506208","https://openalex.org/W2609984075","https://openalex.org/W2736431578","https://openalex.org/W2952587893","https://openalex.org/W2962766910","https://openalex.org/W2964134613","https://openalex.org/W6610306431","https://openalex.org/W6635654010","https://openalex.org/W6637373629","https://openalex.org/W6639350877","https://openalex.org/W6640754710","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6698200468","https://openalex.org/W6720769478","https://openalex.org/W6736831969"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"three":[3],"simple,":[4],"compact":[5],"yet":[6],"effective":[7],"representations":[8,55],"of":[9,40,70],"depth":[10,41,71,141],"sequences,":[11,72],"referred":[12],"to":[13,47,58,77,132],"respectively":[14],"as":[15],"Dynamic":[16,20,26],"Depth":[17,21,27],"Images":[18,23,30],"(DDI),":[19],"Normal":[22,29],"(DDNI)":[24],"and":[25,95,118],"Motion":[28],"(DDMNI).":[31],"These":[32],"dynamic":[33],"images":[34],"are":[35],"constructed":[36],"from":[37],"a":[38,83],"sequence":[39],"maps":[42],"using":[43],"bidirectional":[44],"rank":[45],"pooling":[46],"effectively":[48],"capture":[49],"the":[50,60,80,98,104,133],"spatial-temporal":[51],"information.":[52],"Such":[53],"image-based":[54],"enable":[56],"us":[57],"fine-tune":[59],"existing":[61],"ConvNets":[62],"models":[63],"trained":[64],"on":[65,97],"image":[66],"data":[67],"for":[68,92],"classification":[69,116],"without":[73],"introducing":[74],"large":[75],"parameters":[76],"learn.":[78],"Upon":[79],"proposed":[81],"representations,":[82],"convolutional":[84],"Neural":[85],"networks":[86],"(ConvNets)":[87],"based":[88],"method":[89,113],"is":[90],"developed":[91],"gesture":[93],"recognition":[94],"evaluated":[96],"Large-scale":[99],"Isolated":[100],"Gesture":[101],"Recognition":[102],"at":[103,107],"ChaLearn":[105],"Looking":[106],"People":[108],"(LAP)":[109],"challenge":[110,127],"2016.":[111],"The":[112],"achieved":[114],"55.57%":[115],"accuracy":[117],"ranked":[119],"2":[120],"<sup":[121],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">nd</sup>":[123],"place":[124],"in":[125],"this":[126],"but":[128],"was":[129],"very":[130],"close":[131],"best":[134],"performance":[135],"even":[136],"though":[137],"we":[138],"only":[139],"used":[140],"data.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}