{"id":"https://openalex.org/W4405600479","doi":"https://doi.org/10.1109/access.2024.3520172","title":"MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition","display_name":"MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405600479","doi":"https://doi.org/10.1109/access.2024.3520172"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3520172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3520172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115552537","display_name":"Kowovi Comivi Alowonou","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kowovi Comivi Alowonou","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062826616","display_name":"Ji-Hyeong Han","orcid":"https://orcid.org/0000-0001-8391-6898"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Hyeong Han","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115552537"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74839939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"193552","last_page":"193563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9599000215530396,"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/action-recognition","display_name":"Action recognition","score":0.7641327381134033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520662546157837},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6629238724708557},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5184652209281921},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5050862431526184},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5007617473602295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4975176155567169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4743986129760742},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.42089757323265076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25567764043807983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1649934947490692},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08295059204101562},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.07062500715255737}],"concepts":[{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7641327381134033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520662546157837},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6629238724708557},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5184652209281921},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5050862431526184},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5007617473602295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975176155567169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4743986129760742},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.42089757323265076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25567764043807983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1649934947490692},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08295059204101562},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.07062500715255737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3520172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0f5e538a67b24206be515c3a3024deb9","is_oa":true,"landing_page_url":"https://doaj.org/article/0f5e538a67b24206be515c3a3024deb9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 193552-193563 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3520172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321294","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W846669277","https://openalex.org/W1744759976","https://openalex.org/W1950788856","https://openalex.org/W2054041160","https://openalex.org/W2110819057","https://openalex.org/W2158787690","https://openalex.org/W2284126738","https://openalex.org/W2510185399","https://openalex.org/W2593146028","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2606294640","https://openalex.org/W2613570903","https://openalex.org/W2619383789","https://openalex.org/W2736334449","https://openalex.org/W2770191827","https://openalex.org/W2776687321","https://openalex.org/W2778523960","https://openalex.org/W2793547936","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2950568498","https://openalex.org/W2963076818","https://openalex.org/W2963369114","https://openalex.org/W2963465695","https://openalex.org/W2964015378","https://openalex.org/W2964134613","https://openalex.org/W2964347220","https://openalex.org/W2966210862","https://openalex.org/W2979750740","https://openalex.org/W2986215149","https://openalex.org/W2991376513","https://openalex.org/W2996835428","https://openalex.org/W2998086661","https://openalex.org/W3002113191","https://openalex.org/W3008546095","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035149912","https://openalex.org/W3035225512","https://openalex.org/W3047772167","https://openalex.org/W3049257603","https://openalex.org/W3083550439","https://openalex.org/W3088902177","https://openalex.org/W3090067260","https://openalex.org/W3093411241","https://openalex.org/W3093441220","https://openalex.org/W3108496296","https://openalex.org/W3111448578","https://openalex.org/W3113067059","https://openalex.org/W3116525923","https://openalex.org/W3119171349","https://openalex.org/W3174836262","https://openalex.org/W3203634062","https://openalex.org/W4200633254","https://openalex.org/W4206154948","https://openalex.org/W4312757522","https://openalex.org/W4312805142","https://openalex.org/W4379206827","https://openalex.org/W4385767975","https://openalex.org/W4386065362","https://openalex.org/W4390871806","https://openalex.org/W4391321196","https://openalex.org/W4396941300","https://openalex.org/W6620673361","https://openalex.org/W6637178625","https://openalex.org/W6720006811","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6846203356","https://openalex.org/W6846289511","https://openalex.org/W6846843926","https://openalex.org/W6849375654","https://openalex.org/W6852406071","https://openalex.org/W6859327385"],"related_works":["https://openalex.org/W2267589039","https://openalex.org/W2369791303","https://openalex.org/W4372260258","https://openalex.org/W2133280289","https://openalex.org/W2360069155","https://openalex.org/W2759540840","https://openalex.org/W2169963286","https://openalex.org/W4254230825","https://openalex.org/W2919798019","https://openalex.org/W2159795102"],"abstract_inverted_index":{"Graph":[0,89,100],"convolutional":[1],"networks":[2],"(GCNs)":[3],"have":[4,9],"been":[5],"widely":[6],"used":[7],"and":[8,103,117,129,144,150,180,184,204,210],"achieved":[10],"remarkable":[11],"results":[12],"in":[13,74,214],"skeleton-based":[14,83,215],"action":[15,84,188,216],"recognition.":[16,217],"We":[17],"note":[18],"that":[19,45],"existing":[20],"GCN-based":[21],"approaches":[22],"rely":[23],"on":[24,193],"local":[25,128],"context":[26,62,131],"information":[27,63,132],"of":[28,52,64,95,133,148],"the":[29,53,60,65,134,141,146,156,159],"skeleton":[30,121],"joints":[31,66,135],"to":[32,42,82,113,139,175],"construct":[33,140],"adaptive":[34,56,142],"graphs":[35],"for":[36],"feature":[37],"aggregation,":[38],"limiting":[39],"their":[40],"ability":[41],"understand":[43],"actions":[44],"involve":[46],"coordinated":[47],"movements":[48],"across":[49,136],"various":[50],"parts":[51],"body.":[54],"An":[55],"graph":[57,143],"built":[58],"upon":[59],"global":[61,130,177],"can":[67],"help":[68],"move":[69],"beyond":[70],"this":[71,75],"limitation.":[72],"Therefore,":[73],"paper,":[76],"we":[77],"propose":[78],"a":[79,163,170],"novel":[80],"approach":[81],"recognition":[85],"named":[86],"Multi-stage":[87,98,165],"Adaptive":[88,99],"Convolution":[90,101,167],"Network":[91],"(MSA-GCN).":[92],"It":[93],"consists":[94],"two":[96,109],"modules:":[97],"(MSA-GC)":[102],"Temporal":[104,166,171],"Multi-Scale":[105],"Transformer":[106],"(TMST).":[107],"These":[108],"modules":[110],"work":[111],"together":[112],"capture":[114,176],"complex":[115,149],"spatial":[116],"temporal":[118,178],"patterns":[119],"within":[120,187],"data":[122],"effectively.":[123],"Specifically,":[124],"MSA-GC":[125],"explores":[126],"both":[127,182],"all":[137],"sequences":[138],"facilitates":[145],"understanding":[147],"nuanced":[151],"relationships":[152],"between":[153],"joints.":[154],"On":[155],"other":[157],"hand,":[158],"TMST":[160],"module":[161],"integrates":[162],"Gated":[164],"(GMSTC)":[168],"with":[169],"Multi-Head":[172],"Self-Attention":[173],"(TMHSA)":[174],"features":[179],"accommodate":[181],"long-term":[183],"short-term":[185],"dependencies":[186],"sequences.":[189],"Through":[190],"extensive":[191],"experiments":[192],"multiple":[194],"benchmark":[195],"datasets,":[196],"including":[197],"NTU":[198,201],"RGB+D":[199,202],"60,":[200],"120,":[203],"Northwestern-UCLA,":[205],"MSA-GCN":[206],"achieves":[207],"state-of-the-art":[208],"performance":[209],"verifies":[211],"its":[212],"effectiveness":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}