{"id":"https://openalex.org/W3157449430","doi":"https://doi.org/10.1109/jsen.2021.3075722","title":"Pyramidal Graph Convolutional Network for Skeleton-Based Human Action Recognition","display_name":"Pyramidal Graph Convolutional Network for Skeleton-Based Human Action Recognition","publication_year":2021,"publication_date":"2021-04-26","ids":{"openalex":"https://openalex.org/W3157449430","doi":"https://doi.org/10.1109/jsen.2021.3075722","mag":"3157449430"},"language":"en","primary_location":{"id":"doi:10.1109/jsen.2021.3075722","doi":"https://doi.org/10.1109/jsen.2021.3075722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2021.3075722","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"},"volume":null,"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/A5080549930","display_name":"Fanjia Li","orcid":"https://orcid.org/0000-0002-9508-6171","observed_orcids":["https://orcid.org/0000-0002-9508-6171"]},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanjia Li","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Jiangsu Province Xuzhou Technician Institute, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9508-6171","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Jiangsu Province Xuzhou Technician Institute, Xuzhou, China","institution_ids":["https://openalex.org/I124841900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075167001","display_name":"Aichun Zhu","orcid":"https://orcid.org/0000-0001-6972-5534","observed_orcids":["https://orcid.org/0000-0001-6972-5534"]},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aichun Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","School of Computer Science & Technology, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6972-5534","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"School of Computer Science & Technology, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101918197","display_name":"Zhongyu Liu","orcid":"https://orcid.org/0000-0002-3545-7495","observed_orcids":["https://orcid.org/0000-0002-3545-7495"]},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyu Liu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China"],"raw_orcid":"https://orcid.org/0000-0002-3545-7495","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069549212","display_name":"Yu Huo","orcid":"https://orcid.org/0000-0003-4326-2601","observed_orcids":["https://orcid.org/0000-0003-4326-2601"]},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Huo","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China"],"raw_orcid":"https://orcid.org/0000-0003-4326-2601","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031753653","display_name":"Yonggang Xu","orcid":"https://orcid.org/0000-0003-3537-3715","observed_orcids":["https://orcid.org/0000-0003-3537-3715"]},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Xu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China"],"raw_orcid":"https://orcid.org/0000-0003-3537-3715","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064272196","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-7547-7143","observed_orcids":["https://orcid.org/0000-0001-7547-7143"]},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China"],"raw_orcid":"https://orcid.org/0000-0001-7547-7143","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,XuZhou,China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":1.1345,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7710871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"21","issue":"14","first_page":"16183","last_page":"16191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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":0.0010000000474974513,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.00019999999494757503,"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/skeleton-based-action-recognition","display_name":"skeleton-based action recognition","score":0.9520000219345093},{"id":"https://openalex.org/keywords/graph-convolutional-networks","display_name":"graph convolutional networks","score":0.8619999885559082},{"id":"https://openalex.org/keywords/temporal-dynamics-modeling","display_name":"temporal dynamics modeling","score":0.8009999990463257},{"id":"https://openalex.org/keywords/intra-class-compactness","display_name":"intra-class compactness","score":0.9959999918937683},{"id":"https://openalex.org/keywords/inter-class-separability","display_name":"inter-class separability","score":0.7879999876022339},{"id":"https://openalex.org/keywords/depth-sensors","display_name":"depth sensors","score":0.6449999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243510246276855},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5814458131790161},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5731033682823181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5682674646377563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319023132324219},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.48234885931015015},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.450599730014801},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43724334239959717},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25697803497314453},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2533683776855469}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsen.2021.3075722","doi":"https://doi.org/10.1109/jsen.2021.3075722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2021.3075722","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3020648960","display_name":null,"funder_award_id":"61901475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5248766935","display_name":null,"funder_award_id":"51574232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5251002","display_name":null,"funder_award_id":"18KJB510049","funder_id":"https://openalex.org/F4320335440","funder_display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335440","display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2510185399","https://openalex.org/W2619947201","https://openalex.org/W2739179646","https://openalex.org/W2793547936","https://openalex.org/W2799211965","https://openalex.org/W2902073357","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2946539594","https://openalex.org/W2948058585","https://openalex.org/W2963076818","https://openalex.org/W2963369114","https://openalex.org/W2964134613","https://openalex.org/W2964347220","https://openalex.org/W2990525852","https://openalex.org/W2996249958","https://openalex.org/W2996835428","https://openalex.org/W2998586455","https://openalex.org/W3022453529","https://openalex.org/W3028433894","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035149912","https://openalex.org/W3036289652","https://openalex.org/W3040842087","https://openalex.org/W3043878998","https://openalex.org/W3081276604","https://openalex.org/W3086043674","https://openalex.org/W3108496296","https://openalex.org/W3110947680","https://openalex.org/W3113067059","https://openalex.org/W3123784868","https://openalex.org/W6704520437","https://openalex.org/W6725062358","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2487162673","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"The":[0,15],"emergence":[1],"of":[2,48,59,108,112,127],"low-cost":[3],"depth":[4],"sensors":[5],"opens":[6],"up":[7],"new":[8],"potentials":[9],"for":[10,18,123],"skeleton-based":[11],"human":[12],"action":[13],"recognition.":[14],"recent":[16],"methods":[17,61],"this":[19,72,83],"task":[20],"have":[21,32],"made":[22],"significant":[23],"progress":[24],"by":[25],"incorporating":[26],"graph":[27,78],"convolution.":[28],"However,":[29],"they":[30],"(1)":[31,86],"limitations":[33],"in":[34,66,82],"modeling":[35],"the":[36,46,49,56,68,113,124,128,146,152],"complex":[37],"and":[38,42,51,103,161],"variable":[39],"temporal":[40,52,114],"dynamics,":[41],"(2)":[43,119],"cannot":[44],"maximize":[45],"complementarity":[47],"spatial":[50],"features.":[53,137],"Besides,":[54],"(3)":[55,139],"loss":[57,143,148],"function":[58],"these":[60],"has":[62],"an":[63,87],"inherent":[64],"weakness":[65],"optimizing":[67],"intraclass":[69,159],"compactness.":[70],"To":[71],"end,":[73],"we":[74],"propose":[75],"a":[76,140],"pyramidal":[77,92],"convolutional":[79],"network":[80,129],"(PY-GCN)":[81],"paper.":[84],"Specifically,":[85],"effective":[88],"yet":[89],"efficient":[90],"single-oriented":[91],"convolution":[93],"is":[94,130,149],"proposed.":[95],"It":[96],"involves":[97],"multiple":[98,117],"kernels":[99],"with":[100,145],"varying":[101],"sizes":[102],"depths":[104],"that":[105],"are":[106],"capable":[107],"capturing":[109],"different":[110],"levels":[111],"dynamics":[115],"at":[116],"scales.":[118],"A":[120],"pseudo-two-stream":[121],"structure":[122],"basic":[125],"block":[126],"proposed":[131],"to":[132,151],"comprehensively":[133],"aggregate":[134],"discriminative":[135],"cross-spatiotemporal":[136],"Moreover,":[138],"pairwise":[141],"Gaussian":[142],"together":[144],"cross-entropy":[147],"introduced":[150],"model,":[153],"which":[154],"can":[155],"focus":[156],"on":[157,169],"both":[158],"compactness":[160],"interclass":[162],"separability.":[163],"Our":[164],"PY-GCN":[165],"achieves":[166],"state-of-the-art":[167],"performance":[168],"three":[170],"challenging":[171],"large-scale":[172],"datasets.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}