{"id":"https://openalex.org/W3081364171","doi":"https://doi.org/10.3390/s20174803","title":"An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model","display_name":"An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model","publication_year":2020,"publication_date":"2020-08-26","ids":{"openalex":"https://openalex.org/W3081364171","doi":"https://doi.org/10.3390/s20174803","mag":"3081364171","pmid":"https://pubmed.ncbi.nlm.nih.gov/32858849"},"language":"en","primary_location":{"id":"doi:10.3390/s20174803","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174803","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4803/pdf?version=1598424738","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/17/4803/pdf?version=1598424738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070456383","display_name":"Bruna Salles Moreira","orcid":null},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Bruna Salles Moreira","raw_affiliation_strings":["Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012283902","display_name":"\u00c2ngelo Perkusich","orcid":"https://orcid.org/0000-0002-7377-1258"},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Angelo Perkusich","raw_affiliation_strings":["Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7377-1258","affiliations":[{"raw_affiliation_string":"Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009756623","display_name":"Saulo O. D. Luiz","orcid":"https://orcid.org/0000-0002-2354-0048"},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Saulo O. D. Luiz","raw_affiliation_strings":["Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2354-0048","affiliations":[{"raw_affiliation_string":"Embedded Systems and Pervasive Computing Laboratory, Electrical Engineering Department, Federal University of Campina Grande, Campina Grande, Para\u00edba 58429-900, Brazil","institution_ids":["https://openalex.org/I41455075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070456383"],"corresponding_institution_ids":["https://openalex.org/I41455075"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3426,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56637618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"17","first_page":"4803","last_page":"4803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9979000091552734,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8664828538894653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129808068275452},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.7088302373886108},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6112691164016724},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5957543849945068},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5680465698242188},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5485811233520508},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5424711108207703},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.5174382328987122},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5171879529953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4903600215911865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3621693551540375},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.21687182784080505}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8664828538894653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129808068275452},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.7088302373886108},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6112691164016724},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5957543849945068},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5680465698242188},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5485811233520508},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5424711108207703},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.5174382328987122},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5171879529953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4903600215911865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3621693551540375},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.21687182784080505},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"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":"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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20174803","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174803","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4803/pdf?version=1598424738","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32858849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32858849","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:48f680449f0e462985fe433e4643f774","is_oa":true,"landing_page_url":"https://doaj.org/article/48f680449f0e462985fe433e4643f774","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 17, p 4803 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/17/4803/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20174803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 17; Pages: 4803","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7506863","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7506863","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20174803","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174803","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4803/pdf?version=1598424738","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081364171.pdf","grobid_xml":"https://content.openalex.org/works/W3081364171.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1526060153","https://openalex.org/W1970334548","https://openalex.org/W1988851570","https://openalex.org/W2003333103","https://openalex.org/W2005198142","https://openalex.org/W2020309949","https://openalex.org/W2043581786","https://openalex.org/W2048207755","https://openalex.org/W2121252750","https://openalex.org/W2163097095","https://openalex.org/W2169709590","https://openalex.org/W2567850235","https://openalex.org/W2616168736","https://openalex.org/W2781760079","https://openalex.org/W2796208452","https://openalex.org/W2917310405","https://openalex.org/W2935290040","https://openalex.org/W3006497738","https://openalex.org/W4252331534","https://openalex.org/W6631653358"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","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","https://openalex.org/W2077377051"],"abstract_inverted_index":{"Many":[0],"human":[1],"activities":[2],"are":[3,55],"tactile.":[4],"Recognizing":[5],"how":[6],"a":[7,13,74,82,84,86,90,102,120,163,185,191],"person":[8],"touches":[9],"an":[10,18,69,94],"object":[11],"or":[12],"surface":[14,32],"surrounding":[15],"them":[16],"is":[17],"active":[19],"area":[20],"of":[21,57,81,155,166,179,188],"research":[22],"and":[23,48,76,89,123,134,138,146,149,153,172],"it":[24,125],"has":[25],"generated":[26],"keen":[27],"interest":[28],"within":[29],"the":[30,58,113,117,127,136,144,151,177,180,196],"interactive":[31],"community.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,97,115],"compare":[38],"two":[39],"machine":[40],"learning":[41],"techniques,":[42],"namely":[43],"Artificial":[44],"Neural":[45],"Network":[46],"(ANN)":[47],"Hidden":[49],"Markov":[50],"Models":[51],"(HMM),":[52],"as":[53],"they":[54],"some":[56],"most":[59],"common":[60],"techniques":[61,157],"with":[62,93,190],"low":[63],"computational":[64],"cost":[65],"used":[66],"to":[67,129,132],"classify":[68],"acoustic-based":[70],"input.":[71],"We":[72,141],"employ":[73],"small":[75,121],"low-cost":[77],"hardware":[78,145],"design":[79],"composed":[80],"microphone,":[83],"stethoscope,":[85],"conditioning":[87],"circuit,":[88],"microcontroller.":[91],"Together":[92],"appropriate":[95],"surface,":[96],"integrated":[98],"these":[99,156],"components":[100],"into":[101],"passive":[103],"gesture":[104,159],"recognition":[105,160],"input":[106],"system":[107],"for":[108],"experimental":[109],"evaluation.":[110],"To":[111],"perform":[112],"evaluation,":[114],"acquire":[116],"signals":[118],"using":[119,162],"microphone":[122],"send":[124],"through":[126],"microcontroller":[128],"MATLAB's":[130],"toolboxes":[131],"implement":[133],"evaluate":[135],"ANN":[137],"HMM":[139,181],"models.":[140],"also":[142],"present":[143],"software":[147],"implementation":[148],"discuss":[150],"advantages":[152],"limitations":[154],"in":[158],"while":[161],"simple":[164],"alphabet":[165],"three":[167],"geometrical":[168],"figures:":[169],"circle,":[170],"square,":[171],"triangle.":[173],"The":[174],"results":[175],"validate":[176],"robustness":[178],"technique":[182],"that":[183],"achieved":[184],"success":[186],"rate":[187],"90%,":[189],"shorter":[192],"training":[193],"time":[194],"than":[195],"ANN.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}