{"id":"https://openalex.org/W4408577936","doi":"https://doi.org/10.3389/fnbot.2025.1482281","title":"Latent space improved masked reconstruction model for human skeleton-based action recognition","display_name":"Latent space improved masked reconstruction model for human skeleton-based action recognition","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4408577936","doi":"https://doi.org/10.3389/fnbot.2025.1482281","pmid":"https://pubmed.ncbi.nlm.nih.gov/40151415"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2025.1482281","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2025.1482281","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2025.1482281/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2025.1482281/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014780577","display_name":"Enqing Chen","orcid":"https://orcid.org/0000-0003-1261-1282"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enqing Chen","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634479","display_name":"Xueting Wang","orcid":"https://orcid.org/0000-0002-1595-7644"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueting Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507341","display_name":"Xin Guo","orcid":"https://orcid.org/0000-0003-4153-4642"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004053740","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0003-3738-598X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101459856","display_name":"Dong Li","orcid":"https://orcid.org/0000-0002-8766-500X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101507341"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.7655,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67993538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1482281","last_page":"1482281"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9338536262512207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643982172012329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7569417953491211},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.702650785446167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6951915621757507},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6675740480422974},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5826195478439331},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5245766043663025},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4359057545661926},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4241790473461151},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3994947373867035},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2748076617717743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14719805121421814}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9338536262512207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643982172012329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7569417953491211},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.702650785446167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6951915621757507},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6675740480422974},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5826195478439331},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5245766043663025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4359057545661926},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4241790473461151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3994947373867035},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2748076617717743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14719805121421814},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3389/fnbot.2025.1482281","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2025.1482281","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2025.1482281/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:40151415","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40151415","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":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:europepmc.org:10759400","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11947723","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11947723/pdf/fnbot-19-1482281.pdf","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2025.1482281","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2025.1482281","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2025.1482281/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2745735843","display_name":null,"funder_award_id":"62101503","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408577936.pdf","grobid_xml":"https://content.openalex.org/works/W4408577936.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W1959608418","https://openalex.org/W2156303437","https://openalex.org/W2235034809","https://openalex.org/W2526041356","https://openalex.org/W2554408731","https://openalex.org/W2559085405","https://openalex.org/W2752796333","https://openalex.org/W2755876276","https://openalex.org/W2896457183","https://openalex.org/W2963076818","https://openalex.org/W2963781481","https://openalex.org/W2963799213","https://openalex.org/W2964134613","https://openalex.org/W2964347220","https://openalex.org/W2990503944","https://openalex.org/W3034581612","https://openalex.org/W3035225512","https://openalex.org/W3081111248","https://openalex.org/W3097969370","https://openalex.org/W3169413442","https://openalex.org/W3203634062","https://openalex.org/W3205106480","https://openalex.org/W3205898195","https://openalex.org/W3208627378","https://openalex.org/W4200634815","https://openalex.org/W4221167396","https://openalex.org/W4295312788","https://openalex.org/W4312096696","https://openalex.org/W4312245820","https://openalex.org/W4313156423","https://openalex.org/W4360978772","https://openalex.org/W4361856786","https://openalex.org/W4367349439","https://openalex.org/W4382459184","https://openalex.org/W4385626908","https://openalex.org/W4385768200","https://openalex.org/W4386065445","https://openalex.org/W4386215080","https://openalex.org/W4386597044","https://openalex.org/W4402776182","https://openalex.org/W4404890011","https://openalex.org/W6640963894","https://openalex.org/W6682864246","https://openalex.org/W6755207826","https://openalex.org/W6766978945","https://openalex.org/W6803080871","https://openalex.org/W6810265253","https://openalex.org/W6844987083","https://openalex.org/W6847733641","https://openalex.org/W6849415013","https://openalex.org/W6852661503","https://openalex.org/W6858914755"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W4389832810","https://openalex.org/W3163146846","https://openalex.org/W3133533225"],"abstract_inverted_index":{"Human":[0],"skeleton-based":[1],"action":[2,50],"recognition":[3],"is":[4],"an":[5],"important":[6],"task":[7],"in":[8,23,38,44,61,66,79,124,174,181,198],"the":[9,52,56,62,74,84,96,118,125,133,138,155,168,172,182],"field":[10],"of":[11,55,87,99,127,171,184],"computer":[12],"vision.":[13],"In":[14,114,129],"recent":[15],"years,":[16],"masked":[17,39],"autoencoder":[18,63,89,103],"(MAE)":[19],"has":[20,34],"been":[21],"used":[22],"various":[24],"fields":[25],"due":[26],"to":[27,58,72,121],"its":[28,178],"powerful":[29],"self-supervised":[30],"learning":[31],"ability":[32,54,78,180],"and":[33,91,111,144,147,157,177],"achieved":[35],"good":[36],"results":[37,65,153],"data":[40,142],"reconstruction":[41],"tasks.":[42],"However,":[43],"visual":[45],"classification":[46,68,80,169,175,191],"tasks":[47,81,176],"such":[48],"as":[49],"recognition,":[51],"limited":[53],"encoder":[57,139,173],"learn":[59,140],"features":[60,123],"structure":[64],"poor":[67],"performance.":[69],"We":[70],"propose":[71],"enhance":[73],"encoder's":[75],"feature":[76,149],"extraction":[77],"by":[82],"leveraging":[83],"latent":[85,97,119,134],"space":[86,98],"variational":[88,102],"(VAE)":[90],"further":[92],"replace":[93],"it":[94],"with":[95,200],"vector":[100],"quantized":[101],"(VQVAE).":[104],"The":[105,151],"constructed":[106],"models":[107],"are":[108],"called":[109],"SkeletonMVAE":[110,188],"SkeletonMVQVAE,":[112,130],"respectively.":[113],"SkeletonMVAE,":[115],"we":[116,131],"constrain":[117],"variables":[120],"represent":[122],"form":[126],"distributions.":[128],"discretize":[132],"variables.":[135],"These":[136],"help":[137],"deeper":[141],"structures":[143],"more":[145],"discriminative":[146],"generalized":[148],"representations.":[150],"experiment":[152],"on":[154],"NTU-60":[156],"NTU-120":[158],"datasets":[159],"demonstrate":[160],"that":[161],"our":[162],"proposed":[163],"method":[164],"can":[165],"effectively":[166],"improve":[167],"accuracy":[170],"generalization":[179,197],"case":[183],"few":[185],"labeled":[186,202],"data.":[187,203],"exhibits":[189,195],"stronger":[190,196],"ability,":[192],"while":[193],"SkeletonMVQVAE":[194],"situations":[199],"fewer":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
