{"id":"https://openalex.org/W4313639571","doi":"https://doi.org/10.1109/tbme.2023.3234642","title":"Real-Time Hand Gesture Recognition by Decoding Motor Unit Discharges Across Multiple Motor Tasks From Surface Electromyography","display_name":"Real-Time Hand Gesture Recognition by Decoding Motor Unit Discharges Across Multiple Motor Tasks From Surface Electromyography","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4313639571","doi":"https://doi.org/10.1109/tbme.2023.3234642","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018607"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2023.3234642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2023.3234642","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100418425","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-3007-4364"},"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":"Chen Chen","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-3007-4364","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051094311","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0001-5582-4558"},"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":"Yang Yu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-5582-4558","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062272467","display_name":"Xinjun Sheng","orcid":"https://orcid.org/0000-0001-6124-8665"},"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":"Xinjun Sheng","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","Meta Robotics Institute, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-6124-8665","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":"Meta Robotics Institute, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086075497","display_name":"Jianjun Meng","orcid":"https://orcid.org/0000-0003-0813-652X"},"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":"Jianjun Meng","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0003-0813-652X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078125284","display_name":"Xiangyang Zhu","orcid":"https://orcid.org/0000-0003-4914-6636"},"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":"Xiangyang Zhu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4914-6636","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":"Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.6657,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94318577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"70","issue":"7","first_page":"2058","last_page":"2068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9642000198364258,"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":0.9642000198364258,"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":0.01140000019222498,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.003800000064074993,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6714183688163757},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6270345449447632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094338297843933},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.602123498916626},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5871603488922119},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5870882272720337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5816047787666321},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5687975883483887},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5154491066932678},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4862441122531891},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43826860189437866},{"id":"https://openalex.org/keywords/motor-unit","display_name":"Motor unit","score":0.42421630024909973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41314437985420227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11493444442749023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714183688163757},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6270345449447632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094338297843933},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.602123498916626},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5871603488922119},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5870882272720337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5816047787666321},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5687975883483887},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5154491066932678},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4862441122531891},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43826860189437866},{"id":"https://openalex.org/C2781425072","wikidata":"https://www.wikidata.org/wiki/Q1889028","display_name":"Motor unit","level":2,"score":0.42421630024909973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41314437985420227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11493444442749023},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009046","descriptor_name":"Motor Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009046","descriptor_name":"Motor Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009046","descriptor_name":"Motor Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2023.3234642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2023.3234642","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:37018607","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018607","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1050636565","display_name":null,"funder_award_id":"2022M722103","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2014986479","display_name":null,"funder_award_id":"BX2021180","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7474814106","display_name":null,"funder_award_id":"52205024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8965705428","display_name":null,"funder_award_id":"91948302","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1492330046","https://openalex.org/W1503680843","https://openalex.org/W1514261135","https://openalex.org/W2002499457","https://openalex.org/W2004879773","https://openalex.org/W2034255374","https://openalex.org/W2042861111","https://openalex.org/W2043240362","https://openalex.org/W2116404466","https://openalex.org/W2143321942","https://openalex.org/W2156525434","https://openalex.org/W2168149181","https://openalex.org/W2290981976","https://openalex.org/W2564511738","https://openalex.org/W2587122088","https://openalex.org/W2754340111","https://openalex.org/W2763724904","https://openalex.org/W2764120354","https://openalex.org/W2765431510","https://openalex.org/W2809139847","https://openalex.org/W2890789060","https://openalex.org/W2897230127","https://openalex.org/W2901616108","https://openalex.org/W2902068390","https://openalex.org/W2947764326","https://openalex.org/W2954664426","https://openalex.org/W2955075226","https://openalex.org/W2955232259","https://openalex.org/W2967637111","https://openalex.org/W2969958495","https://openalex.org/W2979890847","https://openalex.org/W3020244590","https://openalex.org/W3130417799","https://openalex.org/W3136958148","https://openalex.org/W3186132891","https://openalex.org/W3193030064","https://openalex.org/W3195616138","https://openalex.org/W3199084069","https://openalex.org/W4200067849","https://openalex.org/W4211072146","https://openalex.org/W4229460157","https://openalex.org/W4230942788","https://openalex.org/W4250412356","https://openalex.org/W4285821290"],"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/W2028966255","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Surface":[1],"electromyography":[2],"(EMG)":[3],"decomposition":[4,123,136,200],"techniques":[5],"have":[6],"been":[7],"developed":[8],"to":[9,87,124],"decode":[10],"motor":[11,37,62,68,130,281],"neuron":[12],"activities":[13],"non-invasively":[14],"in":[15,22,40,72,115,132,201,290],"the":[16,106,126,141,243,264,269,284],"past":[17],"decades,":[18],"showing":[19],"superior":[20],"performance":[21],"human-machine":[23,291],"interfaces":[24],"such":[25],"as":[26],"gesture":[27,57,149,164,277],"recognition":[28,58,165,278],"and":[29,39,118,266,275],"proportional":[30],"control.":[31],"However,":[32],"neural":[33,156,288],"decoding":[34,61,289],"across":[35,66,129,279],"multiple":[36,67,280],"tasks":[38,69,131,150],"real-time":[41,55],"remains":[42],"challenging,":[43],"which":[44,104,226],"limits":[45],"its":[46],"wide":[47],"application.":[48],"In":[49],"this":[50],"work,":[51],"we":[52],"proposed":[53,244,270],"a":[54,73,187,202,218,233,250],"hand":[56,148,276],"method":[59,137,245,271],"by":[60],"unit":[63],"(MU)":[64],"discharges":[65,128],"(":[70],"10)":[71],"motion-wise":[74,135],"way.":[75],"METHODS:":[76],"The":[77,89,100,134,155,194,213,240],"EMG":[78,122,143,199,253],"signals":[79,144],"were":[80,112,178],"first":[81],"divided":[82],"into":[83],"numerous":[84],"segments":[85],"related":[86],"motions.":[88],"convolution":[90],"kernel":[91],"compensation":[92],"algorithm":[93],"was":[94,138,161,208,223,227,246],"applied":[95,139],"for":[96,109,120,163,180,272],"each":[97,110,116,184],"segment":[98,117],"individually.":[99],"local":[101],"MU":[102,127,273],"filters,":[103],"indicate":[105,263],"MU-EMG":[107],"correlation":[108],"motion,":[111],"calculated":[113],"iteratively":[114],"reused":[119],"global":[121],"trace":[125],"real-time.":[133],"on":[140,167],"high-density":[142],"recorded":[145],"during":[146],"twelve":[147,181],"from":[151,183],"eleven":[152],"non-disabled":[153],"participants.":[154],"feature":[157,235],"of":[158,190,198,205,232,242,268,287],"discharge":[159],"count":[160],"extracted":[162],"based":[166],"five":[168],"common":[169],"classifiers.":[170],"MAIN":[171],"RESULTS:":[172],"On":[173],"average,":[174],"164":[175],"\u00b134":[176],"MUs":[177],"identified":[179],"motions":[182],"subject,":[185],"with":[186,249],"pulse-to-noise":[188],"ratio":[189],"32.1":[191],"\u00b15.6":[192],"dB.":[193],"average":[195,214],"time":[196],"cost":[197],"sliding":[203],"window":[204],"50":[206],"ms":[207],"less":[209],"than":[210,230],"5":[211],"ms.":[212],"classification":[215],"accuracy":[216],"using":[217],"linear":[219],"discriminant":[220],"analysis":[221],"classifier":[222],"94.6":[224],"\u00b18.1%,":[225],"significantly":[228],"higher":[229],"that":[231],"time-domain":[234],"called":[236],"root":[237],"mean":[238],"square.":[239],"superiority":[241,267],"also":[247],"validated":[248],"previously":[251],"published":[252],"database":[254],"comprising":[255],"65":[256],"gestures.":[257],"CONCLUSION":[258],"AND":[259],"SIGNIFICANCE:":[260],"These":[261],"results":[262],"feasibility":[265],"identification":[274],"tasks,":[282],"extending":[283],"potential":[285],"applications":[286],"interfaces.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
