{"id":"https://openalex.org/W3213589309","doi":"https://doi.org/10.1145/3426020.3426177","title":"Study of Hand Motion Signal Detection and Frame Extraction Using Frequency Analysis by Electric Field Sensors\u2731","display_name":"Study of Hand Motion Signal Detection and Frame Extraction Using Frequency Analysis by Electric Field Sensors\u2731","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3213589309","doi":"https://doi.org/10.1145/3426020.3426177","mag":"3213589309"},"language":"en","primary_location":{"id":"doi:10.1145/3426020.3426177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-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/A5055274540","display_name":"Sungil Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungil Jung","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063467902","display_name":"Young\u2010Chul Kim","orcid":"https://orcid.org/0000-0001-7945-028X"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Chul Kim","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055274540"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25045148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"476","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.751800000667572,"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":0.751800000667572,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.7396000027656555,"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":0.7319999933242798,"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/signal","display_name":"SIGNAL (programming language)","score":0.7109768390655518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.510800838470459},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4963997006416321},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4778294563293457},{"id":"https://openalex.org/keywords/harmonics","display_name":"Harmonics","score":0.4678797125816345},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4253089427947998},{"id":"https://openalex.org/keywords/electric-field","display_name":"Electric field","score":0.41454190015792847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.359607458114624},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.32010897994041443},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1996321976184845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18289592862129211},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.1793440580368042},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.16597506403923035}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.7109768390655518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510800838470459},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4963997006416321},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4778294563293457},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.4678797125816345},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4253089427947998},{"id":"https://openalex.org/C60799052","wikidata":"https://www.wikidata.org/wiki/Q46221","display_name":"Electric field","level":2,"score":0.41454190015792847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.359607458114624},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.32010897994041443},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1996321976184845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18289592862129211},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.1793440580368042},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.16597506403923035},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426020.3426177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W773973938","https://openalex.org/W2043915857","https://openalex.org/W2408073983","https://openalex.org/W4383905568","https://openalex.org/W6714065858"],"related_works":["https://openalex.org/W2370517014","https://openalex.org/W2039242888","https://openalex.org/W2515867587","https://openalex.org/W1838021708","https://openalex.org/W2535445299","https://openalex.org/W2020985248","https://openalex.org/W75722962","https://openalex.org/W2362354458","https://openalex.org/W4214595193","https://openalex.org/W2347998791"],"abstract_inverted_index":{"Using":[0,54],"an":[1,5,160],"electric":[2,15],"field":[3,16],"or":[4,112],"EPIC":[6,42,200],"sensor":[7],"that":[8,57,105],"can":[9],"measure":[10,127,135],"contactless":[11],"potential,":[12],"we":[13],"recorded":[14,37],"dwarfism":[17],"generated":[18],"by":[19,62],"the":[20,36,41,55,58,66,71,77,110,115,124,157,165,169,180,203,211],"human":[21,63],"body,":[22],"and":[23,31,90,117,179,186,208,210],"conducted":[24],"a":[25,45,68,83,101,119,128,136,218],"study":[26,205],"to":[27,65,108,134,150,192],"detect":[28],"hand":[29,72],"movements":[30],"extract":[32],"gesture":[33],"frames":[34],"using":[35,76,100,199],"signals.":[38],"Signals":[39],"from":[40,70],"sensors":[43,201],"include":[44],"large":[46],"amount":[47],"of":[48,82,86,95,114,123,196],"power":[49],"line":[50],"noise":[51],"(PLN)":[52],"indoors.":[53],"fact":[56],"PLN":[59,79],"is":[60,98,106,148,162,202],"shielded":[61],"access":[64],"sensor,":[67],"signal":[69,85,104,116,143],"has":[73,118],"been":[74,152],"detected":[75,99,153],"change.":[78],"consists":[80],"mainly":[81],"composite":[84],"60":[87,91],"Hz":[88,92,103,130,142],"frequency":[89,138],"harmonics":[93],"indoors,":[94],"which":[96],"motion":[97,173,197,222],"120":[102,129,141],"easy":[107],"identify":[109],"increase":[111],"decrease":[113],"low":[120],"zero":[121],"base":[122],"signal.":[125,139],"To":[126],"signal,":[131],"use":[132],"FFT":[133],"spectral-separated":[137],"The":[140,171],"obtained":[144],"in":[145,221],"this":[146],"way":[147],"believed":[149],"have":[151],"as":[154],"it":[155],"passed":[156],"threshold.":[158,170],"If":[159],"action":[161],"detected,":[163],"determine":[164],"frame":[166,181],"based":[167],"on":[168],"final":[172],"detection":[174,198,223],"rate":[175],"was":[176,183],"about":[177,184],"90%":[178],"accuracy":[182],"85%,":[185],"very":[187],"fine":[188],"signals":[189],"were":[190],"difficult":[191],"detect.":[193],"This":[194],"type":[195],"first":[204],"attempted":[206],"domestically":[207],"internationally,":[209],"results":[212],"show":[213],"room":[214],"for":[215],"development":[216],"into":[217],"promising":[219],"technology":[220],"applications.":[224]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}