{"id":"https://openalex.org/W3017167223","doi":"https://doi.org/10.1109/icaiic48513.2020.9065201","title":"Hand Gesture Classification based on Short-Time Fourier Transform of Inaudible Sound","display_name":"Hand Gesture Classification based on Short-Time Fourier Transform of Inaudible Sound","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3017167223","doi":"https://doi.org/10.1109/icaiic48513.2020.9065201","mag":"3017167223"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048599704","display_name":"Jinwon Cheon","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":"Jinwon Cheon","raw_affiliation_strings":["Dept. of Security Enhanced Smart Electric Vehicle, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Security Enhanced Smart Electric Vehicle, Kookmin University, Seoul, 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":false,"raw_author_name":"Sunwoong Choi","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02462947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"521","issue":null,"first_page":"472","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9952999949455261,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.9142875671386719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827959656715393},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5853407382965088},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.554275631904602},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5332961082458496},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5304697751998901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123032331466675},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.503847062587738},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.49912381172180176},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4688583016395569},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.45125827193260193},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4262537360191345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35695457458496094},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.27607885003089905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0701933205127716},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06914055347442627}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9142875671386719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827959656715393},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5853407382965088},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.554275631904602},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5332961082458496},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5304697751998901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123032331466675},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.503847062587738},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.49912381172180176},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4688583016395569},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.45125827193260193},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4262537360191345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35695457458496094},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27607885003089905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0701933205127716},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06914055347442627},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1698155719","https://openalex.org/W2119802217","https://openalex.org/W2134917076","https://openalex.org/W2309966826","https://openalex.org/W2394945029","https://openalex.org/W2468530846","https://openalex.org/W2501948295","https://openalex.org/W2525860450","https://openalex.org/W2595328592","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2985647871","https://openalex.org/W6792841710"],"related_works":["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/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W2782295999"],"abstract_inverted_index":{"As":[0],"IoT":[1],"devices":[2,5],"and":[3,13,54,77,87,110],"wearable":[4],"are":[6],"increasing":[7],"in":[8,83],"number,":[9],"researches":[10],"for":[11,22],"recognizing":[12],"classifying":[14],"human":[15],"action":[16],"or":[17],"behavior":[18],"as":[19],"a":[20,31,100],"method":[21,32],"controlling":[23],"them":[24],"have":[25,59,79,98],"become":[26],"important.":[27],"This":[28],"study":[29],"proposes":[30],"to":[33],"classify":[34],"hand":[35,56,70,108],"gestures":[36,71],"by":[37],"one":[38],"smartphone":[39,53],"using":[40],"high":[41],"frequency":[42,88],"sound":[43,50],"which":[44],"is":[45],"inaudible.":[46],"While":[47],"generating":[48],"the":[49,52,61,69,74,84,111],"from":[51],"conducting":[55],"gestures,":[57,109],"we":[58,78,97],"classified":[60],"reflected":[62,65],"sound.":[63],"The":[64],"data":[66,82],"differs":[67],"between":[68],"because":[72],"of":[73],"Doppler":[75],"effect":[76],"analyzed":[80],"this":[81,95],"time":[85],"domain":[86,89],"with":[90],"short-time":[91],"Fourier":[92],"transform.":[93],"In":[94],"paper,":[96],"presented":[99],"convolutional":[101],"neural":[102],"network":[103],"model":[104,112],"that":[105],"classifies":[106],"8":[107],"showed":[113],"94.25":[114],"%":[115],"classification":[116],"accuracy.":[117]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}