{"id":"https://openalex.org/W2978119389","doi":"https://doi.org/10.1109/access.2019.2944652","title":"A Novel Combination Model of Convolutional Neural Network and Long Short-Term Memory Network for Upper Limb Evaluation Using Kinect-Based System","display_name":"A Novel Combination Model of Convolutional Neural Network and Long Short-Term Memory Network for Upper Limb Evaluation Using Kinect-Based System","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978119389","doi":"https://doi.org/10.1109/access.2019.2944652","mag":"2978119389"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2944652","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944652","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.2019.2944652","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000705243","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-8427-4548"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8427-4548","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010492331","display_name":"Chunjiang Fan","orcid":"https://orcid.org/0009-0004-6185-1068"},"institutions":[{"id":"https://openalex.org/I4210154710","display_name":"Wuxi Taihu Hospital","ror":"https://ror.org/05qp6pd10","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjiang Fan","raw_affiliation_strings":["Wuxi Rehabilitation Hospital, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Rehabilitation Hospital, Wuxi, China","institution_ids":["https://openalex.org/I4210154710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324824","display_name":"Haoran Wang","orcid":"https://orcid.org/0000-0002-4622-0119"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063293419","display_name":"Guokai Zhang","orcid":"https://orcid.org/0000-0002-0952-8325"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokai Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0952-8325","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000705243"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1673,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79685492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"145227","last_page":"145234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9987999796867371,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9977999925613403,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8309886455535889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7052685022354126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6691708564758301},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.568535566329956},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5361262559890747},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5285911560058594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4439963698387146},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.43876031041145325},{"id":"https://openalex.org/keywords/rehabilitation","display_name":"Rehabilitation","score":0.43129223585128784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36694368720054626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3383716940879822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309886455535889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7052685022354126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6691708564758301},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.568535566329956},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5361262559890747},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5285911560058594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4439963698387146},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.43876031041145325},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.43129223585128784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36694368720054626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3383716940879822},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2944652","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944652","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:b0b7104f1bc54bfbbba57911f3238147","is_oa":true,"landing_page_url":"https://doaj.org/article/b0b7104f1bc54bfbbba57911f3238147","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 145227-145234 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2944652","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944652","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W35544591","https://openalex.org/W90353859","https://openalex.org/W1497431575","https://openalex.org/W1538131130","https://openalex.org/W1973439289","https://openalex.org/W1978492954","https://openalex.org/W1995562189","https://openalex.org/W1996304474","https://openalex.org/W2005708641","https://openalex.org/W2018361712","https://openalex.org/W2018691138","https://openalex.org/W2032492829","https://openalex.org/W2036776724","https://openalex.org/W2041094000","https://openalex.org/W2056898157","https://openalex.org/W2064228716","https://openalex.org/W2065217746","https://openalex.org/W2073905554","https://openalex.org/W2078866700","https://openalex.org/W2127826372","https://openalex.org/W2139049236","https://openalex.org/W2143303629","https://openalex.org/W2145346898","https://openalex.org/W2148099808","https://openalex.org/W2155058646","https://openalex.org/W2163605009","https://openalex.org/W2172000360","https://openalex.org/W2218982377","https://openalex.org/W2253429366","https://openalex.org/W2279913532","https://openalex.org/W2293634267","https://openalex.org/W2344933400","https://openalex.org/W2605253636","https://openalex.org/W2754841612","https://openalex.org/W2784499877","https://openalex.org/W2884001105","https://openalex.org/W2900311982","https://openalex.org/W2928955081","https://openalex.org/W2930689895","https://openalex.org/W2942516496","https://openalex.org/W2962902328","https://openalex.org/W3098949126","https://openalex.org/W4297775537","https://openalex.org/W6603697666","https://openalex.org/W6632100814","https://openalex.org/W6684191040","https://openalex.org/W6696934422","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2999805992","https://openalex.org/W4380075502","https://openalex.org/W4291897433","https://openalex.org/W4223943233"],"abstract_inverted_index":{"Nowadays,":[0],"somatosensory":[1],"devices":[2],"were":[3],"widely":[4],"used":[5],"for":[6,11,44,102],"developing":[7],"the":[8,52,62,78,86,96],"rehabilitation":[9,45],"systems":[10],"limb-injured":[12],"patients.":[13],"However,":[14],"professional":[15],"evaluation":[16,46,83],"was":[17,69],"rarely":[18],"studied":[19],"in":[20],"this":[21],"field.":[22],"In":[23,51],"our":[24,66,81,99],"study,":[25],"we":[26],"presented":[27],"a":[28],"novel":[29],"hybrid":[30,100],"deep":[31],"network":[32,38,42],"combined":[33],"long":[34],"short-term":[35],"memory":[36],"(LSTM)":[37],"and":[39],"convolutional":[40],"neural":[41],"(CNN)":[43],"referred":[47],"to":[48,71],"Brunnstrom":[49,57],"Scale.":[50],"identification":[53],"task":[54],"of":[55,65,80,89,98],"3-class":[56],"stages":[58],"(III,":[59],"IV,":[60],"V),":[61],"mean":[63],"accuracy":[64],"proposed":[67,82],"model":[68,101],"up":[70],"80%":[72],"(84.1%).":[73],"The":[74],"experimental":[75],"result":[76,88],"validated":[77],"reliability":[79],"method.":[84],"And":[85],"comparison":[87],"three":[90],"machine":[91],"learning":[92],"algorithms":[93],"indicated":[94],"that":[95],"superiority":[97],"Kinect-based":[103],"3D":[104],"data":[105],"analysis.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}