{"id":"https://openalex.org/W4411665303","doi":"https://doi.org/10.1145/3733774.3735334","title":"Unsupervised Continuous Motion Intention Decoding from Electromyographic Signals Using Nonlinear Manifold Extraction","display_name":"Unsupervised Continuous Motion Intention Decoding from Electromyographic Signals Using Nonlinear Manifold Extraction","publication_year":2025,"publication_date":"2025-05-07","ids":{"openalex":"https://openalex.org/W4411665303","doi":"https://doi.org/10.1145/3733774.3735334"},"language":"en","primary_location":{"id":"doi:10.1145/3733774.3735334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733774.3735334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733774.3735334","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 5th International Conference on Robotics and Control Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3733774.3735334","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008138489","display_name":"Hanjie Deng","orcid":"https://orcid.org/0009-0000-0747-184X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjie Deng","raw_affiliation_strings":["School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0000-0747-184X","affiliations":[{"raw_affiliation_string":"School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001340667","display_name":"Hong Zeng","orcid":"https://orcid.org/0000-0002-4587-6263"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zeng","raw_affiliation_strings":["School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4587-6263","affiliations":[{"raw_affiliation_string":"School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114211158","display_name":"Xiaoying Xu","orcid":"https://orcid.org/0009-0002-9839-4564"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Xu","raw_affiliation_strings":["School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0002-9839-4564","affiliations":[{"raw_affiliation_string":"School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043070662","display_name":"Jingyu Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Ping","raw_affiliation_strings":["School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0006-1987-4260","affiliations":[{"raw_affiliation_string":"School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-1982-6780","affiliations":[{"raw_affiliation_string":"School of Instrument Scinence and Engineering,, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18403181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9925000071525574,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7865086793899536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093050837516785},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5844277143478394},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5523680448532104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513510704040527},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5190721154212952},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4875037372112274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44849303364753723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.389394611120224},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32770299911499023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1811140775680542},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09155252575874329},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.078229159116745}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7865086793899536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093050837516785},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5844277143478394},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5523680448532104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513510704040527},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5190721154212952},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4875037372112274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44849303364753723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.389394611120224},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32770299911499023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1811140775680542},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09155252575874329},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.078229159116745},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3733774.3735334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733774.3735334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733774.3735334","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 5th International Conference on Robotics and Control Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3733774.3735334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733774.3735334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733774.3735334","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 5th International Conference on Robotics and Control Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3460734238","display_name":null,"funder_award_id":"62173089","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411665303.pdf","grobid_xml":"https://content.openalex.org/works/W4411665303.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2044719021","https://openalex.org/W2056759886","https://openalex.org/W2066327120","https://openalex.org/W2066473592","https://openalex.org/W2100338757","https://openalex.org/W2135631461","https://openalex.org/W2153036520","https://openalex.org/W2271593383","https://openalex.org/W2493236962","https://openalex.org/W2510140697","https://openalex.org/W2621961142","https://openalex.org/W2792578571","https://openalex.org/W2897024586","https://openalex.org/W2944402709","https://openalex.org/W2978461629","https://openalex.org/W2980096865","https://openalex.org/W3009904227","https://openalex.org/W3165882235","https://openalex.org/W4312092958"],"related_works":["https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W4220731478","https://openalex.org/W1974101135","https://openalex.org/W2017509870","https://openalex.org/W4251141768","https://openalex.org/W4360952157","https://openalex.org/W2153647085"],"abstract_inverted_index":{"With":[0],"the":[1,25,69,114,129,132,143,157,162,168,191,207,223],"advantages":[2],"of":[3,27,72,131,161,227],"non-invasive":[4],"benefits":[5],"and":[6,39,111,225],"incorporates":[7],"neural":[8],"information":[9,122,213],"related":[10],"to":[11,58,119,127,187],"executing":[12],"motor":[13],"tasks,":[14],"Myoelectric-based":[15],"interaction":[16],"methods":[17,34,178],"have":[18],"attracted":[19,47],"significant":[20],"attention":[21,49],"from":[22,50,102],"researchers":[23],"in":[24,42,145,173,179,236],"field":[26],"human-machine":[28,238],"interaction.":[29],"(HMI).":[30],"Continuous":[31],"motion":[32,65,93,182,233],"decoding":[33,66,159,196],"enable":[35],"more":[36],"intuitive":[37],"interactions":[38],"foster":[40],"self-learning":[41],"closed-loop":[43],"systems,":[44],"which":[45,106],"has":[46],"considerable":[48],"researchers.":[51],"Some":[52],"studies":[53],"use":[54],"linear":[55,76,188],"dimensionality":[56,77],"reduction":[57,78],"extract":[59],"latent":[60,83],"spaces":[61],"for":[62,80,91,116,231],"unsupervised":[63,89],"continuous":[64,92,232],"algorithms.":[67],"However,":[68],"nonlinear":[70,98,228],"characteristics":[71],"electrophysiological":[73],"signals":[74],"make":[75],"insufficient":[79],"deriving":[81],"low-dimensional":[82],"spaces.":[84],"This":[85],"paper":[86],"presents":[87],"an":[88],"algorithm":[90],"intention":[94,234],"decoder":[95],"based":[96],"on":[97],"manifold":[99,146,169,189,229],"space":[100,147],"extraction":[101,148,170,230],"electromyographic":[103],"(EMG)":[104],"signals,":[105],"ensures":[107],"component":[108],"variance":[109],"consistency,":[110],"while":[112,153],"eliminating":[113],"need":[115],"additional":[117],"devices":[118],"collect":[120],"motion-related":[121],"as":[123],"label.":[124],"In":[125],"order":[126],"validate":[128],"effectiveness":[130,224],"proposed":[133,163,192],"approach,":[134],"two":[135],"experiments":[136],"were":[137],"carried":[138],"out:":[139],"Experiment":[140,154],"I":[141],"compared":[142,186],"differences":[144],"among":[149],"various":[150],"autoencoder":[151,209,218],"structures,":[152],"II":[155],"evaluated":[156],"online":[158],"capability":[160],"decoder.Experimental":[164],"results":[165,199],"demonstrate":[166],"that":[167],"method":[171,193],"employed":[172],"this":[174],"study":[175],"outperforms":[176],"other":[177,217],"extracting":[180],"antagonistic":[181],"information.":[183],"More":[184],"importantly,":[185],"extraction,":[190],"significantly":[194],"enhances":[195],"performance":[197],"The":[198,220],"show":[200],"that,":[201],"despite":[202],"small":[203],"test":[204],"set":[205],"sizes,":[206],"single-layer":[208],"structure":[210],"demonstrates":[211],"superior":[212],"retention":[214],"capabilities":[215],"over":[216],"architectures.":[219],"findings":[221],"highlight":[222],"potential":[226],"estimation":[235],"EMG-based":[237],"interfaces.":[239]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
