{"id":"https://openalex.org/W3131785665","doi":"https://doi.org/10.3390/s21041316","title":"EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot","display_name":"EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3131785665","doi":"https://doi.org/10.3390/s21041316","mag":"3131785665","pmid":"https://pubmed.ncbi.nlm.nih.gov/33673141"},"language":"en","primary_location":{"id":"doi:10.3390/s21041316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041316","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1316/pdf?version=1614041399","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/1424-8220/21/4/1316/pdf?version=1614041399","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070095781","display_name":"Aberham Genetu Feleke","orcid":"https://orcid.org/0000-0001-9871-5431"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aberham Genetu Feleke","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0001-9871-5431","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385751","display_name":"Luzheng Bi","orcid":"https://orcid.org/0000-0001-8986-3379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luzheng Bi","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031415609","display_name":"Weijie Fei","orcid":"https://orcid.org/0000-0003-3188-1384"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Fei","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079385751"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.6975,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.82574317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"1316","last_page":"1316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/electromyography","display_name":"Electromyography","score":0.629486620426178},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6236486434936523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5946510434150696},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5916656255722046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5742886662483215},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.534287691116333},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4747762382030487},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4386720061302185},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4205652177333832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32797425985336304},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.21384191513061523}],"concepts":[{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.629486620426178},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6236486434936523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5946510434150696},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5916656255722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742886662483215},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.534287691116333},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4747762382030487},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4386720061302185},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4205652177333832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32797425985336304},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.21384191513061523},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21041316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041316","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1316/pdf?version=1614041399","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:33673141","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33673141","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:doaj.org/article:ba196aef2fe44d3b8123e640be0a618e","is_oa":true,"landing_page_url":"https://doaj.org/article/ba196aef2fe44d3b8123e640be0a618e","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":"Sensors, Vol 21, Iss 4, p 1316 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/4/1316/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21041316","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 21; Issue 4; Pages: 1316","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7918055","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7918055","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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"}],"best_oa_location":{"id":"doi:10.3390/s21041316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041316","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1316/pdf?version=1614041399","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G6367694117","display_name":null,"funder_award_id":"51975052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6719327308","display_name":null,"funder_award_id":"4162055","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3131785665.pdf","grobid_xml":"https://content.openalex.org/works/W3131785665.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1964025242","https://openalex.org/W1983675348","https://openalex.org/W2017085332","https://openalex.org/W2027933188","https://openalex.org/W2066327120","https://openalex.org/W2101027380","https://openalex.org/W2104727184","https://openalex.org/W2111340349","https://openalex.org/W2120741548","https://openalex.org/W2154848553","https://openalex.org/W2160601648","https://openalex.org/W2167170208","https://openalex.org/W2170937782","https://openalex.org/W2539392374","https://openalex.org/W2587482678","https://openalex.org/W2616811721","https://openalex.org/W2742484302","https://openalex.org/W2747523765","https://openalex.org/W2765746460","https://openalex.org/W2790547736","https://openalex.org/W2791542133","https://openalex.org/W2792578571","https://openalex.org/W2899539884","https://openalex.org/W2912065207","https://openalex.org/W2915722752","https://openalex.org/W2967637111","https://openalex.org/W2971316385","https://openalex.org/W2979689127","https://openalex.org/W2990180389","https://openalex.org/W2991240488","https://openalex.org/W3014229143","https://openalex.org/W3014528623","https://openalex.org/W3040336838","https://openalex.org/W3115122206","https://openalex.org/W4250016271","https://openalex.org/W6770438115"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2789522126","https://openalex.org/W2911808920","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744"],"abstract_inverted_index":{"(1)":[0],"Background:":[1],"Three-dimensional":[2],"(3-D)":[3],"hand":[4,72,87,131,142,195,235,266,289,366],"position":[5,88,132,191,232,290,367],"is":[6,23,105,151,180,368],"one":[7],"of":[8,39,77,80,85,102,128,141,148,157,165,186,193,208,233,239,268,279,299,325,358,361],"the":[9,37,75,78,83,126,135,145,155,163,166,176,183,190,194,197,230,234,237,245,269,276,303,319,323,335,349,359,362,364,371,387],"kinematic":[10],"parameters":[11],"that":[12,115,179,264,340],"can":[13,116,272,291,378],"be":[14,117,273,292,379],"inferred":[15,21],"from":[16,36,89,121,134,182,236,302,370],"Electromyography":[17],"(EMG)":[18],"signals.":[19],"The":[20,99,287,375],"parameter":[22],"used":[24,118,175,244,380],"as":[25,58,119,257],"a":[26,108,129,296,315,343,391,394],"communication":[27],"channel":[28],"in":[29,322,346,381],"human-robot":[30,382],"collaboration":[31,383],"applications.":[32],"Although":[33],"its":[34,52],"application":[35,53],"perspective":[38],"rehabilitation":[40],"and":[41,61,159,189,204,216,250,283,329,393],"assistive":[42],"technologies":[43],"are":[44,48,169],"widely":[45],"studied,":[46],"there":[47],"few":[49],"papers":[50],"on":[51,162],"involving":[54],"healthy":[55,187],"subjects":[56,198],"such":[57],"intelligent":[59],"manufacturing":[60],"skill":[62],"transfer.":[63],"In":[64,153,354],"this":[65,103,355],"regard,":[66],"for":[67,138,348],"tasks":[68,209,309],"associated":[69],"with":[70,210,214,275],"complex":[71,139,200,211,270],"trajectories":[73,140],"without":[74,144],"consideration":[76,147],"degree":[79],"freedom":[81],"(DOF),":[82],"prediction":[84,127,167,317,326,336],"3-D":[86,130,231,265,288,365],"EMG":[90,136,177,240,304,372],"signal":[91,137,178,192,305,373],"alone":[92],"has":[93,342],"not":[94],"been":[95],"addressed.":[96],"(2)":[97],"Objective:":[98],"primary":[100],"aim":[101],"study":[104,174],"to":[106,110,123,228,385],"propose":[107],"model":[109,168,225],"predict":[111,229],"human":[112,122,392],"motor":[113],"intention":[114],"information":[120],"robot.":[124,395],"Therefore,":[125],"directly":[133],"movement,":[143],"direct":[146],"joint":[149],"movements,":[150],"studied.":[152],"addition,":[154],"effects":[156],"slow":[158,217,330],"fast":[160],"motions":[161],"accuracy":[164,324],"analyzed.":[170],"(3)":[171],"Methods:":[172],"This":[173],"collected":[181],"upper":[184],"limb":[185],"subjects,":[188],"while":[196],"manipulate":[199],"trajectories.":[201],"We":[202,243,262],"considered":[203],"analyzed":[205],"two":[206],"types":[207],"trajectories,":[212],"each":[213],"quick":[215,312,328],"motions.":[218],"A":[219],"recurrent":[220],"fuzzy":[221],"neural":[222],"network":[223],"(RFNN)":[224],"was":[226,332],"constructed":[227],"features":[238],"signals":[241],"alone.":[242,306,374],"Pearson":[246],"correlation":[247],"coefficient":[248],"(CC)":[249],"normalized":[251],"root":[252],"mean":[253,277],"square":[254],"error":[255],"(NRMSE)":[256],"performance":[258,278,345],"metrics.":[259],"(4)":[260],"Results:":[261],"found":[263,339],"positions":[267],"movement":[271],"predicted":[274,293,369],"CC":[280],"=":[281,285],"0.85":[282],"NRMSE":[284],"0.105.":[286],"well":[294],"within":[295],"future":[297],"time":[298],"250":[300],"ms,":[301],"Even":[307],"though":[308],"performed":[310],"under":[311],"motion":[313,331],"had":[314],"better":[316],"performance;":[318],"statistical":[320],"difference":[321],"between":[327,390],"insignificant.":[333],"Concerning":[334],"model,":[337],"we":[338],"RFNN":[341],"good":[344],"decoding":[347],"time-varying":[350],"system.":[351],"(5)":[352],"Conclusions:":[353],"paper,":[356],"irrespective":[357],"speed":[360],"motion,":[363],"proposed":[376],"approach":[377],"applications":[384],"enhance":[386],"natural":[388],"interaction":[389]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
