{"id":"https://openalex.org/W4411552322","doi":"https://doi.org/10.1109/cscwd64889.2025.11033466","title":"Refined Feature-Enhanced Spatial-Temporal Graph Convolutional Network for Labanotation-Based Action Recognition","display_name":"Refined Feature-Enhanced Spatial-Temporal Graph Convolutional Network for Labanotation-Based Action Recognition","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411552322","doi":"https://doi.org/10.1109/cscwd64889.2025.11033466"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5003929801","display_name":"Boran Chen","orcid":"https://orcid.org/0000-0002-9170-7997"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boran Chen","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041076952","display_name":"Jiaji Wang","orcid":"https://orcid.org/0000-0002-6728-2685"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiaJi Wang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043842148","display_name":"Jian-Po Li","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JianPo Li","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin Electric Power Big Data Intelligent Processing Engineering Technology Research Center,Jilin,Jilin","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003929801"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16008555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"934","last_page":"939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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":0.998199999332428,"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":0.9891999959945679,"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":0.9291999936103821,"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/computer-science","display_name":"Computer science","score":0.7876952886581421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5929433107376099},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5641920566558838},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5593751072883606},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.522770881652832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4808112382888794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12177547812461853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876952886581421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929433107376099},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5641920566558838},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5593751072883606},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.522770881652832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4808112382888794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12177547812461853},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2586649163","https://openalex.org/W2599316529","https://openalex.org/W2761860076","https://openalex.org/W2903946885","https://openalex.org/W2933283296","https://openalex.org/W2948058585","https://openalex.org/W2963076818","https://openalex.org/W2963998561","https://openalex.org/W2970965801","https://openalex.org/W3008442053","https://openalex.org/W3015377672","https://openalex.org/W3034299194","https://openalex.org/W3162936248","https://openalex.org/W3163132933","https://openalex.org/W3198813228","https://openalex.org/W4235592586","https://openalex.org/W4386065362","https://openalex.org/W4391324012"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2370081953","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Labanotation":[0],"is":[1],"a":[2,53,68],"robust":[3],"system":[4],"for":[5,17,23,61],"recording":[6],"and":[7,19,82,92,101,111],"preserving":[8],"dance":[9],"movements.":[10],"Despite":[11],"advancements":[12],"in":[13,124],"deep":[14],"learning":[15],"techniques":[16],"recognizing":[18],"classifying":[20],"Laban":[21,25,125],"symbols":[22],"single":[24],"elemental":[26,126],"actions,":[27],"current":[28],"methodologies":[29],"often":[30],"fail":[31],"to":[32,41,72],"capture":[33],"the":[34,98,109],"spatial-temporal":[35,75],"dynamics":[36],"of":[37],"skeletal":[38,95],"movements,":[39],"leading":[40],"decreased":[42],"accuracy":[43],"with":[44],"ambiguous":[45,84],"actions.":[46,85],"To":[47],"address":[48],"this":[49],"challenge,":[50],"we":[51],"propose":[52],"Refined":[54],"Feature-Enhanced":[55],"Spatial-Temporal":[56],"Graph":[57],"Convolutional":[58],"Network":[59],"(RF-STGCN)":[60],"Labanotation-based":[62],"action":[63,103,127],"recognition.":[64],"Our":[65],"network":[66],"utilizes":[67],"feature":[69],"refinement":[70],"module":[71],"precisely":[73],"extract":[74],"information":[76],"from":[77],"hidden":[78],"features,":[79,96],"effectively":[80],"identifying":[81],"reclassifying":[83],"Additionally,":[86],"an":[87],"improved":[88],"channel-attention":[89],"mechanism":[90],"isolates":[91],"emphasizes":[93],"critical":[94],"enhancing":[97],"model's":[99],"focus":[100],"improving":[102],"recognition":[104,128],"accuracy.":[105,129],"Extensive":[106],"experiments":[107],"on":[108],"Laban-16":[110],"Laban-48":[112],"datasets":[113],"demonstrate":[114],"that":[115],"our":[116],"method":[117],"significantly":[118],"outperforms":[119],"existing":[120],"algorithms,":[121],"achieving":[122],"improvements":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
