{"id":"https://openalex.org/W4386159763","doi":"https://doi.org/10.1109/icarm58088.2023.10218782","title":"A Variable-speed Silent Speech Recognition Method based on Surface Electromyography Signal","display_name":"A Variable-speed Silent Speech Recognition Method based on Surface Electromyography Signal","publication_year":2023,"publication_date":"2023-07-08","ids":{"openalex":"https://openalex.org/W4386159763","doi":"https://doi.org/10.1109/icarm58088.2023.10218782"},"language":"en","primary_location":{"id":"doi:10.1109/icarm58088.2023.10218782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm58088.2023.10218782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5088566872","display_name":"Sui Liang","orcid":"https://orcid.org/0000-0003-4715-2864"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sui Liang","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Soochow University,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Soochow University,Suzhou,China,215021","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112624027","display_name":"Yin Xu","orcid":"https://orcid.org/0000-0002-6055-297X"},"institutions":[{"id":"https://openalex.org/I4210089582","display_name":"Zoomlion (China)","ror":"https://ror.org/00b1hj613","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Xu","raw_affiliation_strings":["Zoomlion Heavy Industry Science And Technology Co., Ltd,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"Zoomlion Heavy Industry Science And Technology Co., Ltd,Suzhou,China,215021","institution_ids":["https://openalex.org/I4210089582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021763497","display_name":"Zhaohua Yuan","orcid":"https://orcid.org/0000-0002-2612-5982"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohua Yuan","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Soochow University,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Soochow University,Suzhou,China,215021","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028713186","display_name":"Lining Sun","orcid":"https://orcid.org/0000-0001-5557-3509"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lining Sun","raw_affiliation_strings":["Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112072873","display_name":"Weida Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weida Li","raw_affiliation_strings":["Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071463104","display_name":"Hongmiao Zhang","orcid":"https://orcid.org/0000-0003-2073-7125"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmiao Zhang","raw_affiliation_strings":["Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021"],"affiliations":[{"raw_affiliation_string":"Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics,Suzhou,China,215021","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088566872"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.1726,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47909071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"798","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9968000054359436,"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/T10860","display_name":"Speech and Audio Processing","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8539466261863708},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8117556571960449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7691240906715393},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5899156928062439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5792627930641174},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5655009746551514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5263042449951172},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5116937160491943},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49258118867874146}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8539466261863708},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8117556571960449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7691240906715393},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5899156928062439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5792627930641174},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5655009746551514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5263042449951172},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5116937160491943},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49258118867874146},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm58088.2023.10218782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm58088.2023.10218782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2023088108","display_name":null,"funder_award_id":"62127810","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1964865525","https://openalex.org/W1967225830","https://openalex.org/W1982021240","https://openalex.org/W1992598475","https://openalex.org/W2008120082","https://openalex.org/W2009026445","https://openalex.org/W2021795255","https://openalex.org/W2060756806","https://openalex.org/W2073642379","https://openalex.org/W2126584718","https://openalex.org/W2128160875","https://openalex.org/W2170151952","https://openalex.org/W2292615898","https://openalex.org/W2350085411","https://openalex.org/W2352214148","https://openalex.org/W2363309403","https://openalex.org/W2373114891","https://openalex.org/W2806172474","https://openalex.org/W3022387615","https://openalex.org/W3040975780","https://openalex.org/W3111801319","https://openalex.org/W3195836518","https://openalex.org/W3207311111","https://openalex.org/W4309279702","https://openalex.org/W7009447445"],"related_works":["https://openalex.org/W2341338763","https://openalex.org/W2950183183","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2894081631","https://openalex.org/W2986063033","https://openalex.org/W2978114332","https://openalex.org/W2040439981"],"abstract_inverted_index":{"In":[0,124],"the":[1,14,17,23,48,58,66,69,78,90,108,126,153],"practical":[2,154],"implementation":[3],"of":[4,52,106,119,156],"silent":[5,31,95,159],"speech":[6,19,32,96,101,160],"recognition":[7,24,33,97],"based":[8,35,158],"on":[9,36],"surface":[10],"electromyography":[11],"(sEMG)":[12],"signal,":[13],"change":[15],"in":[16,44],"subjects'":[18],"speed":[20],"will":[21],"affect":[22],"performance.":[25],"To":[26],"mitigate":[27],"this":[28,45],"effect,":[29],"a":[30,149],"method":[34,61,91,128],"dynamic":[37],"time":[38],"warping":[39],"(DTW)":[40],"algorithm":[41,80,110],"is":[42,62,74,81,92,115,122,129],"proposed":[43,127],"paper.":[46],"Specifically,":[47],"facial":[49],"sEMG":[50,157],"signals":[51],"22":[53],"Chinese":[54],"words":[55,114,121],"are":[56],"collected,":[57],"energy":[59],"threshold":[60],"used":[63,82],"to":[64,94,111,141],"detect":[65],"active":[67],"segment,":[68],"root":[70],"mean":[71],"square":[72],"feature":[73],"extracted,":[75],"and":[76,117,144],"finally":[77],"DTW":[79,109],"for":[83,131,152],"recognition.":[84,161],"The":[85,103],"experimental":[86],"results":[87],"show":[88],"that":[89,118],"robust":[93],"tasks":[98,143],"with":[99],"different":[100],"speeds.":[102],"average":[104],"accuracy":[105],"using":[107],"classify":[112],"uniform-speed":[113],"94.55%,":[116],"variable-speed":[120],"71.82%.":[123],"addition,":[125],"suitable":[130],"few":[132],"samples":[133],"learning,":[134],"which":[135],"means":[136],"it":[137],"can":[138],"quickly":[139],"adapt":[140],"new":[142],"individuals.":[145],"These":[146],"findings":[147],"provide":[148],"novel":[150],"way":[151],"application":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}