{"id":"https://openalex.org/W4386966780","doi":"https://doi.org/10.1002/aisy.202300326","title":"Skeleton\u2010Guided Action Recognition with Multistream 3D Convolutional Neural Network for Elderly\u2010Care Robot","display_name":"Skeleton\u2010Guided Action Recognition with Multistream 3D Convolutional Neural Network for Elderly\u2010Care Robot","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4386966780","doi":"https://doi.org/10.1002/aisy.202300326"},"language":"en","primary_location":{"id":"doi:10.1002/aisy.202300326","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202300326","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aisy.202300326","source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aisy.202300326","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005917415","display_name":"Dawei Zhang","orcid":"https://orcid.org/0000-0002-9302-9368"},"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":"Dawei Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence Zhengzhou Univerity  Zhengzhou Henan 450001 China","School of Computer and Artificial Intelligence, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence Zhengzhou Univerity  Zhengzhou Henan 450001 China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063919897","display_name":"Zhang Yan-ming","orcid":"https://orcid.org/0000-0002-4084-5644"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering Zhengzhou Univerity  Zhengzhou Henan 450001 China","School of Electrical and Information Engineering, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering Zhengzhou Univerity  Zhengzhou Henan 450001 China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650","https://openalex.org/I4210094772"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065908430","display_name":"Meng Zhou","orcid":"https://orcid.org/0009-0008-0869-5325"},"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":"Meng Zhou","raw_affiliation_strings":["School of Computer and Artificial Intelligence Zhengzhou Univerity  Zhengzhou Henan 450001 China","School of Computer and Artificial Intelligence, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence Zhengzhou Univerity  Zhengzhou Henan 450001 China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou Univerity, Zhengzhou, Henan, 450001 China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005917415"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":{"value":2750,"currency":"USD","value_usd":2750},"fwci":0.864,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75885876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"5","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7684714794158936},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7265904545783997},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6837230920791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6344674825668335},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5747286081314087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5563569664955139},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5148448348045349},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4733198583126068},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4462147355079651},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44203731417655945},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41645383834838867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38335901498794556},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.19040095806121826},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.08045005798339844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684714794158936},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7265904545783997},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6837230920791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6344674825668335},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5747286081314087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5563569664955139},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5148448348045349},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4733198583126068},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4462147355079651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44203731417655945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41645383834838867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38335901498794556},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.19040095806121826},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.08045005798339844},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/aisy.202300326","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202300326","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aisy.202300326","source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c77601117ec4e5695d835890056e539","is_oa":true,"landing_page_url":"https://doaj.org/article/5c77601117ec4e5695d835890056e539","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":"Advanced Intelligent Systems, Vol 5, Iss 12, Pp n/a-n/a (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1002/aisy.202300326","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202300326","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aisy.202300326","source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G8925737376","display_name":null,"funder_award_id":"U1433106","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386966780.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2155268664","https://openalex.org/W2294144074","https://openalex.org/W2466991859","https://openalex.org/W2613570903","https://openalex.org/W2782152299","https://openalex.org/W2883723049","https://openalex.org/W2941239341","https://openalex.org/W2943173229","https://openalex.org/W2959800871","https://openalex.org/W2966234499","https://openalex.org/W2967918518","https://openalex.org/W2970934252","https://openalex.org/W2971915722","https://openalex.org/W3034810086","https://openalex.org/W3042064084","https://openalex.org/W3113133344","https://openalex.org/W3118589616","https://openalex.org/W3126235073","https://openalex.org/W3133719585","https://openalex.org/W3195652301"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W4293226380","https://openalex.org/W1605879311","https://openalex.org/W2385763735","https://openalex.org/W2386394344","https://openalex.org/W2382806131","https://openalex.org/W2006683254","https://openalex.org/W2370628457","https://openalex.org/W2770255720","https://openalex.org/W2945358262"],"abstract_inverted_index":{"With":[0],"the":[1,48,70,81,128,132,148],"arrival":[2],"of":[3,52,62,113,144],"a":[4,28,142],"global":[5],"aging":[6],"society,":[7],"elderly\u2010care":[8,145],"robots":[9],"are":[10,44,66,89,96],"becoming":[11],"more":[12,14],"and":[13,16,55,85,92,122,147,162],"attractive":[15],"can":[17],"provide":[18],"better":[19],"caring":[20],"services":[21],"through":[22],"action":[23,30,54,107,114],"recognition.":[24],"This":[25],"article":[26],"presents":[27],"skeleton\u2010guided":[29],"recognition":[31,71,108,160],"framework":[32,130],"with":[33,110],"multistream":[34],"3D":[35],"convolutional":[36],"neural":[37],"network.":[38],"Two":[39,59],"parallel":[40],"dual\u2010stream":[41],"lightweight":[42],"networks":[43,78],"proposed":[45,129],"to":[46,68,98,141],"enhance":[47],"feature":[49,82],"extraction":[50],"ability":[51],"human":[53],"meanwhile":[56],"reduce":[57],"computation.":[58],"different":[60,111],"modes":[61],"skeleton":[63],"input":[64],"video":[65],"constructed":[67],"improve":[69],"accuracy":[72,161],"by":[73],"decision":[74],"fusion.":[75],"The":[76,117,135],"backbone":[77],"adopt":[79],"Resnet\u201018,":[80],"fusion":[83],"layer":[84],"sliding":[86],"window":[87],"mechanism":[88],"both":[90,125],"designed,":[91],"two":[93],"cross\u2010entropy":[94],"losses":[95],"used":[97],"supervise":[99],"their":[100],"training.":[101],"A":[102],"dataset":[103],"(named":[104],"elder":[105],"care":[106],"(EC\u2010AR))":[109],"categories":[112],"is":[115,138],"built.":[116],"experimental":[118],"results":[119,150],"on":[120],"HMDB\u201051":[121],"EC\u2010AR":[123],"datasets":[124],"demonstrate":[126],"that":[127,155],"outperforms":[131],"existing":[133],"methods.":[134],"developed":[136],"method":[137],"also":[139],"applied":[140],"prototype":[143],"robots,":[146],"test":[149],"in":[151],"home":[152],"scenarios":[153],"show":[154],"it":[156],"still":[157],"has":[158],"high":[159],"good":[163],"real\u2010time":[164],"performance.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
