{"id":"https://openalex.org/W2985647871","doi":"https://doi.org/10.1155/2019/1084841","title":"Hand Gesture Classification Based on Nonaudible Sound Using Convolutional Neural Network","display_name":"Hand Gesture Classification Based on Nonaudible Sound Using Convolutional Neural Network","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2985647871","doi":"https://doi.org/10.1155/2019/1084841","mag":"2985647871"},"language":"en","primary_location":{"id":"doi:10.1155/2019/1084841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/1084841","pdf_url":"https://downloads.hindawi.com/journals/js/2019/1084841.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2019/1084841.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009154076","display_name":"Jinhyuck Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhyuck Kim","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, 77 Jeongneung-Ro, Seongbuk-Gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, 77 Jeongneung-Ro, Seongbuk-Gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068241503","display_name":"Sunwoong Choi","orcid":"https://orcid.org/0000-0002-8719-8181"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sunwoong Choi","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, 77 Jeongneung-Ro, Seongbuk-Gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8719-8181","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, 77 Jeongneung-Ro, Seongbuk-Gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068241503"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":{"value":2375,"currency":"USD","value_usd":2375},"apc_paid":{"value":2375,"currency":"USD","value_usd":2375},"fwci":0.4883,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71321696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9901999831199646,"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":0.9886000156402588,"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/gesture","display_name":"Gesture","score":0.9109530448913574},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7975212335586548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181288003921509},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6353037357330322},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5461195707321167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5145520567893982},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46270158886909485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44179999828338623},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.43455666303634644},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4297749996185303},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.42845454812049866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3399553894996643},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13174158334732056},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.053806960582733154}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9109530448913574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7975212335586548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181288003921509},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6353037357330322},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5461195707321167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5145520567893982},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46270158886909485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.43455666303634644},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4297749996185303},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.42845454812049866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3399553894996643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13174158334732056},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.053806960582733154},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2019/1084841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/1084841","pdf_url":"https://downloads.hindawi.com/journals/js/2019/1084841.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:86aa1841138647528678fd185518780d","is_oa":false,"landing_page_url":"https://doaj.org/article/86aa1841138647528678fd185518780d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/1084841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/1084841","pdf_url":"https://downloads.hindawi.com/journals/js/2019/1084841.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8003307998","display_name":null,"funder_award_id":"2016R1A5A1012966","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2985647871.pdf","grobid_xml":"https://content.openalex.org/works/W2985647871.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2020997493","https://openalex.org/W2085281262","https://openalex.org/W2112796928","https://openalex.org/W2469690627","https://openalex.org/W2911964244","https://openalex.org/W4236137412"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2756171776","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Recognizing":[0],"and":[1,5,50,64,77],"distinguishing":[2],"the":[3,18,43,57,78,113],"behavior":[4],"gesture":[6],"of":[7,20,106],"a":[8,25,33,48,70,84,117],"user":[9],"has":[10,61,116],"become":[11],"important":[12],"owing":[13],"to":[14,83,90],"an":[15,67,104],"increase":[16],"in":[17,42],"use":[19],"wearable":[21],"devices,":[22],"such":[23],"as":[24],"smartwatch.":[26],"This":[27],"study":[28],"is":[29,110],"aimed":[30],"at":[31],"proposing":[32],"method":[34,55,115],"for":[35,99],"classifying":[36],"hand":[37,92,101],"gestures":[38,102],"by":[39],"creating":[40],"sound":[41,58],"nonaudible":[44],"frequency":[45],"range":[46],"using":[47,73],"smartphone":[49],"reflected":[51,63],"signal.":[52],"The":[53,94],"proposed":[54],"converts":[56],"data,":[59],"which":[60],"been":[62],"recorded,":[65],"into":[66],"image":[68],"within":[69],"short":[71],"time":[72],"short-time":[74],"Fourier":[75],"transform,":[76],"obtained":[79],"data":[80],"are":[81],"applied":[82],"convolutional":[85],"neural":[86],"network":[87],"(CNN)":[88],"model":[89],"classify":[91],"gestures.":[93],"results":[95],"showed":[96],"classification":[97,119,125],"accuracy":[98,120],"8":[100],"with":[103],"average":[105],"87.75%.":[107],"Additionally,":[108],"it":[109],"confirmed":[111],"that":[112],"suggested":[114],"higher":[118],"than":[121],"other":[122],"machine":[123],"learning":[124],"algorithms.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
