{"id":"https://openalex.org/W4385574959","doi":"https://doi.org/10.1109/tim.2023.3301862","title":"Adaptive Learning Against Muscle Fatigue for A-Mode Ultrasound-Based Gesture Recognition","display_name":"Adaptive Learning Against Muscle Fatigue for A-Mode Ultrasound-Based Gesture Recognition","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385574959","doi":"https://doi.org/10.1109/tim.2023.3301862"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3301862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3301862","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5059131338","display_name":"Jia Zeng","orcid":"https://orcid.org/0000-0003-0682-4898"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Zeng","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0682-4898","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018925318","display_name":"Yixuan Sheng","orcid":"https://orcid.org/0000-0003-1022-7690"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Sheng","raw_affiliation_strings":["State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1022-7690","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068181345","display_name":"Ziliang Zhou","orcid":"https://orcid.org/0000-0002-1867-5837"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziliang Zhou","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1867-5837","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067639993","display_name":"Yicheng Yang","orcid":"https://orcid.org/0000-0003-2884-2341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Yang","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2884-2341","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030534238","display_name":"Jixian Wang","orcid":"https://orcid.org/0000-0002-3660-3175"},"institutions":[{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixian Wang","raw_affiliation_strings":["Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3660-3175","affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai, China","institution_ids":["https://openalex.org/I2801556517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895905","display_name":"Qing Xie","orcid":"https://orcid.org/0000-0002-3298-1072"},"institutions":[{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xie","raw_affiliation_strings":["Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3298-1072","affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai, China","institution_ids":["https://openalex.org/I2801556517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","State Key Laboratory of Robotics and System, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2880-4698","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"State Key Laboratory of Robotics and System, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059131338"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.1803,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76203413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"10"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9976999759674072,"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":0.9782000184059143,"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/gesture","display_name":"Gesture","score":0.7210195660591125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6295555830001831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6163507699966431},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5751115083694458},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5544961094856262},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.485041081905365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48317375779151917},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.4621722102165222},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4294971525669098},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4220251441001892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41100260615348816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32828229665756226},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.15325289964675903}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7210195660591125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6295555830001831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6163507699966431},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5751115083694458},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5544961094856262},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.485041081905365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48317375779151917},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.4621722102165222},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4294971525669098},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4220251441001892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41100260615348816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32828229665756226},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.15325289964675903},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3301862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3301862","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5299999713897705,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2567398775","display_name":null,"funder_award_id":"61733011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4435417572","display_name":null,"funder_award_id":"51575407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6326172953","display_name":null,"funder_award_id":"51575338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7700003600","display_name":null,"funder_award_id":"51475427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G873592579","display_name":null,"funder_award_id":"17JCYB03","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W183625566","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1964793210","https://openalex.org/W1966455806","https://openalex.org/W2057433268","https://openalex.org/W2071959860","https://openalex.org/W2099419573","https://openalex.org/W2123167643","https://openalex.org/W2123917016","https://openalex.org/W2132083787","https://openalex.org/W2132455139","https://openalex.org/W2133530044","https://openalex.org/W2137226992","https://openalex.org/W2144196865","https://openalex.org/W2156387975","https://openalex.org/W2156394514","https://openalex.org/W2165619603","https://openalex.org/W2166607851","https://openalex.org/W2169931829","https://openalex.org/W2170034570","https://openalex.org/W2409101455","https://openalex.org/W2477004689","https://openalex.org/W2618530766","https://openalex.org/W2626328575","https://openalex.org/W2684229413","https://openalex.org/W2775447708","https://openalex.org/W2802527938","https://openalex.org/W2897843070","https://openalex.org/W2919317691","https://openalex.org/W2921263890","https://openalex.org/W2938546798","https://openalex.org/W2962144897","https://openalex.org/W2962879438","https://openalex.org/W2973414847","https://openalex.org/W3016127821","https://openalex.org/W3113079490","https://openalex.org/W3157280810","https://openalex.org/W3209027541","https://openalex.org/W3214575451","https://openalex.org/W4206217267","https://openalex.org/W4226372932","https://openalex.org/W4241336979","https://openalex.org/W4289821943","https://openalex.org/W4312517768","https://openalex.org/W4312701680","https://openalex.org/W4386076187","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6680532697","https://openalex.org/W6682889407","https://openalex.org/W6684671651","https://openalex.org/W6803247036","https://openalex.org/W6855643722"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2805039731","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W342863993"],"abstract_inverted_index":{"It":[0],"is":[1,37,52],"evident":[2],"that":[3,186],"the":[4,7,15,27,56,71,75,130,134,151,164,187,201,208,226],"state":[5,81],"of":[6,18,30,58,63,153,195,204],"art":[8],"in":[9,34,61,140,163,197],"multi-sensory":[10],"hand":[11],"gesture":[12,32,237],"recognition":[13,33,72],"indicates":[14],"superior":[16],"performance":[17,147],"A-mode":[19,98],"ultrasound":[20],"(AUS)":[21],"modality":[22],"over":[23],"its":[24,40,47],"counterparts.":[25],"Nevertheless,":[26],"practical":[28],"implementation":[29],"AUS-based":[31],"real-life":[35],"scenarios":[36],"impeded":[38],"by":[39],"susceptibility":[41],"to":[42,54,77,88,132,142,161,170],"muscle":[43,59,79,143,205],"fatigue,":[44,144,206],"thereby":[45],"limiting":[46],"long-term":[48,66,236],"applicability.":[49],"Therefore,":[50],"it":[51],"crucial":[53],"explore":[55],"role":[57],"fatigue":[60,80],"stability":[62],"AUS":[64,179,230],"based":[65],"human":[67],"machine":[68],"interface.":[69],"Endowing":[70],"model":[73],"with":[74,178],"adaptability":[76],"dynamic":[78],"could":[82],"potentially":[83],"offer":[84],"a":[85,111,119,192,232],"viable":[86,233],"solution":[87],"this":[89,92],"issue.":[90],"In":[91],"work,":[93],"we":[94],"propose":[95],"an":[96],"adaptive":[97,115,122,214],"ultrasound-oriented":[99],"neural":[100,113],"network":[101],"(A":[102],"<sup":[103,125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104,126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[105,127],"USNet),":[106],"which":[107],"comprises":[108],"two":[109],"components:":[110],"convolutional":[112],"network-based":[114],"feature":[116,135],"extractor,":[117],"and":[118,137,166,207,218],"category":[120],"template-based":[121],"classifier.":[123],"A":[124],"USNet":[128],"possesses":[129],"ability":[131],"update":[133],"representation":[136],"decision":[138],"boundary":[139],"response":[141],"consequently":[145],"mitigating":[146],"deterioration.":[148],"To":[149],"validate":[150],"effectiveness":[152],"our":[154],"proposed":[155,188,209],"method,":[156],"nine":[157],"subjects":[158],"were":[159,168],"recruited":[160],"participate":[162],"experiment,":[165],"they":[167],"asked":[169],"perform":[171],"fifteen":[172],"subtle":[173],"gestures":[174],"for":[175,228,235],"sixteen":[176],"trials,":[177],"data":[180],"collected.":[181],"The":[182],"experimental":[183],"results":[184],"demonstrate":[185],"method":[189,210],"can":[190],"yield":[191],"remarkable":[193],"improvement":[194],"26.79%":[196],"classification":[198],"accuracy":[199],"during":[200],"late":[202],"stage":[203],"significantly":[211],"outperforms":[212],"conventional":[213],"linear":[215],"discriminant":[216],"analysis":[217],"incremental":[219],"support":[220],"vector":[221],"machine.":[222],"This":[223],"study":[224],"paves":[225],"way":[227],"establishing":[229],"as":[231],"option":[234],"recognition.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
