{"id":"https://openalex.org/W7163200626","doi":"https://doi.org/10.48550/arxiv.2606.00174","title":"MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding","display_name":"MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163200626","doi":"https://doi.org/10.48550/arxiv.2606.00174"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.00174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137683614","display_name":"Chiyue Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chiyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137644044","display_name":"Dong She","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"She, Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137621481","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-5829-529X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137677214","display_name":"Zhanpeng Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Zhanpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7016000151634216,"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":0.7016000151634216,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.06449999660253525,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.043699998408555984,"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/generalization","display_name":"Generalization","score":0.6414999961853027},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6258999705314636},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5916000008583069},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5698000192642212},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5374000072479248},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5126000046730042},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4869000017642975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766000032424927},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6414999961853027},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6258999705314636},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5916000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5843999981880188},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4869000017642975},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4318999946117401},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C150607116","wikidata":"https://www.wikidata.org/wiki/Q4677421","display_name":"Action semantics","level":5,"score":0.3659999966621399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.2800999879837036},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2632000148296356},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.00174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.45151767134666443,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Electromyography":[0],"(EMG)":[1],"directly":[2],"reflects":[3],"muscle":[4],"activation":[5],"and":[6,17,41,78,88,97,114,124,129],"is":[7],"a":[8,61,154],"key":[9],"sensing":[10],"modality":[11],"for":[12,158],"gesture":[13],"recognition,":[14],"prosthetic":[15],"control,":[16],"wearable":[18],"interaction.":[19],"Existing":[20],"EMG":[21,58,76,86,160],"methods,":[22],"however,":[23],"commonly":[24],"formulate":[25],"hand":[26,142],"action":[27,45,68,122,143,161],"understanding":[28,144],"as":[29],"classification":[30],"over":[31],"fixed":[32],"labels,":[33],"making":[34],"it":[35],"difficult":[36],"to":[37,118],"support":[38],"querying,":[39],"retrieval,":[40,109,152],"generalization":[42,117],"based":[43],"on":[44,95,106],"descriptions.":[46,69,90],"We":[47,91],"present":[48],"MyoSem,":[49],"an":[50],"EMG--action":[51],"semantic":[52,63,79,151],"alignment":[53],"framework":[54],"that":[55,102],"maps":[56],"low-level":[57],"signals":[59,87],"into":[60],"shared":[62],"space":[64],"constructed":[65],"from":[66,145],"multi-view":[67,72],"MyoSem":[70,94,103,139],"combines":[71],"action-semantic":[73],"construction,":[74],"activation-aware":[75],"encoding,":[77],"query":[80],"alignment,":[81],"enabling":[82],"bidirectional":[83,108,150],"retrieval":[84],"between":[85],"text":[89],"systematically":[92],"evaluate":[93],"EMG2Pose":[96],"NinaPro-series":[98],"datasets.":[99],"Results":[100],"show":[101],"performs":[104],"well":[105],"EMG--text":[107],"generally":[110],"outperforms":[111],"most":[112],"baselines,":[113],"shows":[115],"favorable":[116],"unseen":[119],"users,":[120],"held-out":[121],"classes,":[123],"amputee-user":[125],"transfer":[126],"scenarios.":[127],"Ablations":[128],"visualizations":[130],"further":[131],"validate":[132],"the":[133],"effectiveness":[134],"of":[135],"each":[136],"module.":[137],"Overall,":[138],"advances":[140],"EMG-based":[141],"fixed-label":[146],"recognition":[147],"toward":[148],"queryable":[149],"providing":[153],"new":[155],"modeling":[156],"paradigm":[157],"language-mediated":[159],"understanding.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
