{"id":"https://openalex.org/W4384341635","doi":"https://doi.org/10.3390/s23146364","title":"Improving Small-Scale Human Action Recognition Performance Using a 3D Heatmap Volume","display_name":"Improving Small-Scale Human Action Recognition Performance Using a 3D Heatmap Volume","publication_year":2023,"publication_date":"2023-07-13","ids":{"openalex":"https://openalex.org/W4384341635","doi":"https://doi.org/10.3390/s23146364","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514658"},"language":"en","primary_location":{"id":"doi:10.3390/s23146364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146364","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6364/pdf?version=1689242877","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6364/pdf?version=1689242877","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115604867","display_name":"Lin Yuan","orcid":"https://orcid.org/0000-0002-5779-453X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Yuan","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427763","display_name":"Zhen He","orcid":"https://orcid.org/0000-0003-0302-5775"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen He","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055119440","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9654-0268"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042936784","display_name":"Leiyang Xu","orcid":"https://orcid.org/0000-0003-3452-047X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiyang Xu","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102986324","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-1635-8560"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115604867"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0832,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79412072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"14","first_page":"6364","last_page":"6364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9936000108718872,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.829025387763977},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7896298170089722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6805871725082397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5645800828933716},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5154955983161926},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4842243194580078},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4768020808696747},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4654593765735626},{"id":"https://openalex.org/keywords/torso","display_name":"Torso","score":0.4613092243671417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43655213713645935},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41260018944740295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2855754494667053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829025387763977},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7896298170089722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6805871725082397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5645800828933716},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5154955983161926},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4842243194580078},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4768020808696747},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4654593765735626},{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.4613092243671417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43655213713645935},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41260018944740295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2855754494667053},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014743","descriptor_name":"Videotape Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014743","descriptor_name":"Videotape Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014743","descriptor_name":"Videotape Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23146364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146364","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6364/pdf?version=1689242877","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514658","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514658","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10383990","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10383990","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10383990/pdf/sensors-23-06364.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8085a379334a48689ecfb4cbf0cd52c0","is_oa":true,"landing_page_url":"https://doaj.org/article/8085a379334a48689ecfb4cbf0cd52c0","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":"Sensors, Vol 23, Iss 14, p 6364 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6364/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146364","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 14; Pages: 6364","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146364","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6364/pdf?version=1689242877","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3047845980","display_name":null,"funder_award_id":"61876054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384341635.pdf"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1861492603","https://openalex.org/W1950788856","https://openalex.org/W1982000871","https://openalex.org/W2013076218","https://openalex.org/W2016053056","https://openalex.org/W2033569550","https://openalex.org/W2056898157","https://openalex.org/W2085735683","https://openalex.org/W2105101328","https://openalex.org/W2108598243","https://openalex.org/W2126579184","https://openalex.org/W2149933564","https://openalex.org/W2156303437","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2415469094","https://openalex.org/W2519887557","https://openalex.org/W2560023338","https://openalex.org/W2578797046","https://openalex.org/W2593146028","https://openalex.org/W2604321021","https://openalex.org/W2620429936","https://openalex.org/W2716916105","https://openalex.org/W2739179646","https://openalex.org/W2753418202","https://openalex.org/W2765433083","https://openalex.org/W2792140610","https://openalex.org/W2806070179","https://openalex.org/W2896457183","https://openalex.org/W2916798096","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2954146807","https://openalex.org/W2963076818","https://openalex.org/W2963091558","https://openalex.org/W2963524571","https://openalex.org/W2963703197","https://openalex.org/W2964134613","https://openalex.org/W2966758596","https://openalex.org/W2967330869","https://openalex.org/W2972973078","https://openalex.org/W2973204573","https://openalex.org/W2990353871","https://openalex.org/W2990503944","https://openalex.org/W2990541775","https://openalex.org/W3015845461","https://openalex.org/W3034572008","https://openalex.org/W3035225512","https://openalex.org/W3035524453","https://openalex.org/W3040289276","https://openalex.org/W3098745339","https://openalex.org/W3111103913","https://openalex.org/W3113067059","https://openalex.org/W3123784868","https://openalex.org/W3126721948","https://openalex.org/W3129626847","https://openalex.org/W3135367836","https://openalex.org/W3146918276","https://openalex.org/W3154985639","https://openalex.org/W3156509901","https://openalex.org/W3164359705","https://openalex.org/W3172908893","https://openalex.org/W3177318507","https://openalex.org/W3204485253","https://openalex.org/W4200140120","https://openalex.org/W4206004984","https://openalex.org/W4210279275","https://openalex.org/W4223412119","https://openalex.org/W4224250194","https://openalex.org/W4225421539","https://openalex.org/W4240042586","https://openalex.org/W4283770444","https://openalex.org/W4287324301","https://openalex.org/W4296438114","https://openalex.org/W4312245820","https://openalex.org/W6739901393","https://openalex.org/W6810653736","https://openalex.org/W6888462419"],"related_works":["https://openalex.org/W4381953457","https://openalex.org/W2037557144","https://openalex.org/W2285739514","https://openalex.org/W2579089916","https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W2058088690","https://openalex.org/W2086597735","https://openalex.org/W3009056573","https://openalex.org/W2052143774"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"skeleton-based":[3],"human":[4,38,82,101,152],"action":[5,23],"recognition":[6,14,34,175],"has":[7],"garnered":[8],"significant":[9],"research":[10,31],"attention,":[11],"with":[12],"proposed":[13],"or":[15],"segmentation":[16],"methods":[17],"typically":[18],"validated":[19],"on":[20,32,59,118],"large-scale":[21],"coarse-grained":[22],"datasets.":[24,72],"However,":[25],"there":[26],"remains":[27],"a":[28,55,64,106],"lack":[29],"of":[30,35],"the":[33,100,122,185],"small-scale":[36],"fine-grained":[37],"actions":[39,153],"using":[40],"deep":[41],"learning":[42],"methods,":[43],"which":[44],"have":[45],"greater":[46],"practical":[47],"significance.":[48],"To":[49,93],"address":[50],"this":[51],"gap,":[52],"we":[53,79,98],"propose":[54],"novel":[56],"approach":[57,115],"based":[58],"heatmap-based":[60],"pseudo":[61],"videos":[62],"and":[63,126,138,154,157,180],"unified,":[65],"general":[66],"model":[67,145,170],"applicable":[68],"to":[69],"all":[70,161],"modality":[71,182],"Leveraging":[73],"anthropometric":[74],"kinematics":[75],"as":[76],"prior":[77],"information,":[78],"extract":[80],"common":[81,148],"motion":[83,149],"features":[84,150,183],"among":[85,151],"datasets":[86],"through":[87],"an":[88],"ad":[89],"hoc":[90],"pre-trained":[91,144],"model.":[92],"overcome":[94],"joint":[95,179],"mismatch":[96],"issues,":[97],"partition":[99],"skeleton":[102],"into":[103],"five":[104],"parts,":[105],"simple":[107],"yet":[108],"effective":[109],"technique":[110],"for":[111],"information":[112],"sharing.":[113],"Our":[114],"is":[116],"evaluated":[117],"two":[119],"datasets,":[120],"including":[121],"public":[123],"Nursing":[124],"Activities":[125],"our":[127,143,169],"self-built":[128],"Tai":[129],"Chi":[130],"Action":[131],"dataset.":[132],"Results":[133],"from":[134],"linear":[135],"evaluation":[136,140],"protocol":[137],"fine-tuned":[139],"demonstrate":[141],"that":[142],"effectively":[146],"captures":[147],"achieves":[155],"steady":[156],"precise":[158],"accuracy":[159,176],"across":[160],"training":[162],"settings,":[163],"while":[164],"mitigating":[165],"network":[166],"overfitting.":[167],"Notably,":[168],"outperforms":[171],"state-of-the-art":[172],"models":[173],"in":[174],"when":[177],"fusing":[178],"limb":[181],"along":[184],"channel":[186],"dimension.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}