{"id":"https://openalex.org/W4408355407","doi":"https://doi.org/10.1109/icassp49660.2025.10890441","title":"An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals","display_name":"An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355407","doi":"https://doi.org/10.1109/icassp49660.2025.10890441"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102680261","display_name":"Chuheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuheng Wu","raw_affiliation_strings":["New York University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057991229","display_name":"S. Farokh Atashzar","orcid":"https://orcid.org/0000-0001-8495-8440"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Farokh Atashzar","raw_affiliation_strings":["New York University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076266282","display_name":"Mohammad M. Ghassemi","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad M. Ghassemi","raw_affiliation_strings":["Michigan State University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071524422","display_name":"Tuka Alhanai","orcid":"https://orcid.org/0000-0002-1591-3908"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tuka Alhanai","raw_affiliation_strings":["New York University,Center for AI &#x0026; Robotics,Abu Dhabi,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Center for AI &#x0026; Robotics,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3855,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90420561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9879000186920166,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9879000186920166,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9850999712944031,"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":0.9607999920845032,"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":0.7619943618774414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352149248123169},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5763577818870544},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5580466389656067},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5550327301025391},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.535156786441803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49610647559165955},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47184255719184875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3850451707839966},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08598122000694275},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.060424238443374634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619943618774414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352149248123169},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5763577818870544},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5580466389656067},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5550327301025391},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.535156786441803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49610647559165955},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47184255719184875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3850451707839966},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08598122000694275},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.060424238443374634},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4399999976158142,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1484917005","https://openalex.org/W1974013382","https://openalex.org/W2017091714","https://openalex.org/W2096462065","https://openalex.org/W2118088779","https://openalex.org/W2139461861","https://openalex.org/W2169931829","https://openalex.org/W2549264034","https://openalex.org/W2783914690","https://openalex.org/W2808391159","https://openalex.org/W2886903801","https://openalex.org/W2991240488","https://openalex.org/W3006212299","https://openalex.org/W3034179620","https://openalex.org/W3041133507","https://openalex.org/W3180620879","https://openalex.org/W3187576114","https://openalex.org/W3206362641","https://openalex.org/W4281492411","https://openalex.org/W4285184373","https://openalex.org/W4285297290","https://openalex.org/W4295808856","https://openalex.org/W4405488673"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2665305151"],"abstract_inverted_index":{"Surface":[0],"Electromyography":[1],"(sEMG)":[2],"is":[3,8],"a":[4,60,70,90],"non-invasive":[5],"signal":[6,72,171],"that":[7,110,135],"used":[9],"in":[10,121,127,166],"the":[11,17,22,28,42,52,81,111,136,159,162],"recognition":[12],"of":[13,19,25,31,47,83,161],"hand":[14,85,128],"movement":[15,86,129,147],"patterns,":[16],"diagnosis":[18],"diseases,":[20],"and":[21,77,124,145],"robust":[23],"control":[24],"prostheses.":[26],"Despite":[27],"remarkable":[29],"success":[30],"recent":[32],"end-to-end":[33],"Deep":[34],"Learning":[35],"approaches,":[36],"they":[37],"are":[38],"still":[39],"limited":[40],"by":[41],"need":[43],"for":[44,54,64,142,169],"large":[45],"amounts":[46],"labeled":[48],"data.":[49],"To":[50],"alleviate":[51],"requirement":[53],"big":[55],"data,":[56],"we":[57],"propose":[58],"utilizing":[59],"feature-imitating":[61],"network":[62,93,113],"(FIN)":[63],"closed-form":[65],"temporal":[66,98],"feature":[67,122],"learning":[68],"over":[69],"300ms":[71],"window":[73],"on":[74],"Ninapro":[75],"DB2,":[76],"applying":[78],"it":[79],"to":[80,94,117],"task":[82],"17":[84],"recognition.":[87,130],"We":[88,108],"implement":[89],"lightweight":[91],"LSTM-FIN":[92,112],"imitate":[95],"four":[96],"standard":[97],"features":[99],"(entropy,":[100],"root":[101],"mean":[102],"square,":[103],"variance,":[104],"simple":[105],"square":[106],"integral).":[107],"observed":[109],"can":[114,138],"achieve":[115],"up":[116],"99%":[118],"R2":[119],"accuracy":[120,126],"reconstruction":[123],"80%":[125],"Our":[131],"results":[132],"also":[133],"showed":[134],"model":[137],"be":[139],"robustly":[140],"applied":[141],"both":[143],"within-":[144],"cross-subject":[146],"recognition,":[148],"as":[149,151],"well":[150],"simulated":[152],"low-latency":[153],"environments.":[154],"Overall,":[155],"our":[156],"work":[157],"demonstrates":[158],"potential":[160],"FIN":[163],"modeling":[164],"paradigm":[165],"data-scarce":[167],"scenarios":[168],"sEMG":[170],"processing.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-28T08:01:55.173337","created_date":"2025-10-10T00:00:00"}
