{"id":"https://openalex.org/W2415469094","doi":"https://doi.org/10.1109/acpr.2015.7486569","title":"Skeleton based action recognition with convolutional neural network","display_name":"Skeleton based action recognition with convolutional neural network","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2415469094","doi":"https://doi.org/10.1109/acpr.2015.7486569","mag":"2415469094"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5015961162","display_name":"Yong Du","orcid":"https://orcid.org/0000-0003-1864-8326"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Du","raw_affiliation_strings":["CRIPAC, Center for Research on Intelligent Perception and Computing","Nat'l Lab of Pattern Recognition, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"CRIPAC, Center for Research on Intelligent Perception and Computing","institution_ids":[]},{"raw_affiliation_string":"Nat'l Lab of Pattern Recognition, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["College of Engineering, Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["CEBSIT, Center for Excellence in Brain Science and Intelligence Technology","Nat'l Lab of Pattern Recognition, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"CEBSIT, Center for Excellence in Brain Science and Intelligence Technology","institution_ids":["https://openalex.org/I4210097554"]},{"raw_affiliation_string":"Nat'l Lab of Pattern Recognition, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015961162"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":11.2139,"has_fulltext":false,"cited_by_count":428,"citation_normalized_percentile":{"value":0.98961841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7478600740432739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353722453117371},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.725441575050354},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7192278504371643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6695982217788696},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6382614374160767},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.523127019405365},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5036811232566833},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4790676534175873},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.471508651971817},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43093064427375793},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4104352593421936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34600120782852173},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.28377848863601685}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7478600740432739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353722453117371},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.725441575050354},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7192278504371643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6695982217788696},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6382614374160767},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.523127019405365},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5036811232566833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4790676534175873},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.471508651971817},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43093064427375793},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4104352593421936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34600120782852173},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.28377848863601685},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W99615980","https://openalex.org/W199115908","https://openalex.org/W1852205386","https://openalex.org/W1926645898","https://openalex.org/W1950788856","https://openalex.org/W1953802779","https://openalex.org/W1975292803","https://openalex.org/W1979378996","https://openalex.org/W1985469025","https://openalex.org/W1994454889","https://openalex.org/W2009038235","https://openalex.org/W2023358262","https://openalex.org/W2048821851","https://openalex.org/W2060280062","https://openalex.org/W2081934634","https://openalex.org/W2086509056","https://openalex.org/W2087989657","https://openalex.org/W2091911422","https://openalex.org/W2093655440","https://openalex.org/W2100774779","https://openalex.org/W2108036388","https://openalex.org/W2136391815","https://openalex.org/W2143267104","https://openalex.org/W2145546283","https://openalex.org/W2162033023","https://openalex.org/W2163605009","https://openalex.org/W6638780666","https://openalex.org/W6640416349","https://openalex.org/W6640754710","https://openalex.org/W6680285999","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2468279273","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W4287804464","https://openalex.org/W2965546495","https://openalex.org/W2952115151"],"abstract_inverted_index":{"Temporal":[0],"dynamics":[1],"of":[2,21,25,38,47,136],"postures":[3],"over":[4],"time":[5],"is":[6,106,121],"crucial":[7],"for":[8,29,70,127,163],"sequence-based":[9],"action":[10,32,73],"recognition.":[11,131],"Human":[12],"actions":[13,39,165],"can":[14,157],"be":[15],"represented":[16],"by":[17,86,191],"the":[18,26,35,88,104,115,133,139,169,179,188,197],"corresponding":[19],"motions":[20],"articulated":[22],"skeleton.":[23],"Most":[24],"existing":[27,189],"approaches":[28],"skeleton":[30,71,81],"based":[31,40,72],"recognition":[33,74,201],"model":[34,126],"spatial-temporal":[36],"evolution":[37],"on":[41,146,196],"hand-crafted":[42],"features.":[43],"As":[44],"a":[45,80,84,100,124],"kind":[46],"hierarchically":[48],"adaptive":[49],"filter":[50],"banks,":[51],"Convolutional":[52],"Neural":[53],"Network":[54],"(CNN)":[55],"performs":[56],"well":[57,151],"in":[58,91,99],"representation":[59],"learning.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,78],"propose":[65],"an":[66,109,143],"end-to-end":[67],"hierarchical":[68],"architecture":[69],"with":[75,182],"CNN.":[76],"Firstly,":[77],"represent":[79],"sequence":[82],"as":[83,150,152],"matrix":[85,105],"concatenating":[87],"joint":[89,161],"coordinates":[90],"each":[92],"instant":[93],"and":[94,111,130,166],"arranging":[95],"those":[96],"vector":[97],"representations":[98],"chronological":[101],"order.":[102],"Then":[103],"quantified":[107],"into":[108,123],"image":[110,120],"normalized":[112],"to":[113],"handle":[114],"variable-length":[116],"problem.":[117,171],"The":[118],"final":[119],"fed":[122],"CNN":[125],"feature":[128,148],"extraction":[129],"For":[132],"specific":[134],"structure":[135],"such":[137],"images,":[138],"simple":[140],"max-pooling":[141],"plays":[142],"important":[144],"role":[145],"spatial":[147],"selection":[149],"temporal":[153],"frequency":[154],"adjustment,":[155],"which":[156],"obtain":[158],"more":[159,192],"discriminative":[160],"information":[162],"different":[164],"meanwhile":[167],"address":[168],"variable-frequency":[170],"Experimental":[172],"results":[173],"demonstrate":[174],"that":[175],"our":[176],"method":[177],"achieves":[178],"state-of-art":[180],"performance":[181],"high":[183],"computational":[184],"efficiency,":[185],"especially":[186],"surpassing":[187],"result":[190],"than":[193],"15":[194],"percentage":[195],"challenging":[198],"ChaLearn":[199],"gesture":[200],"dataset.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":55},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":68},{"year":2019,"cited_by_count":64},{"year":2018,"cited_by_count":42},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}