{"id":"https://openalex.org/W2960786913","doi":"https://doi.org/10.1109/iccw.2019.8756690","title":"Dynamic Hand Gesture Detection and Recognition with WiFi Signal Based on 1D-CNN","display_name":"Dynamic Hand Gesture Detection and Recognition with WiFi Signal Based on 1D-CNN","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2960786913","doi":"https://doi.org/10.1109/iccw.2019.8756690","mag":"2960786913"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2019.8756690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2019.8756690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5100859124","display_name":"Xu Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Pan","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090606731","display_name":"Ting Jiang","orcid":"https://orcid.org/0000-0003-3598-3804"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Jiang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354504","display_name":"Xudong Li","orcid":"https://orcid.org/0000-0002-4667-062X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Li","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045909794","display_name":"Xue Ding","orcid":"https://orcid.org/0000-0002-3453-8437"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Ding","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345122","display_name":"Yangyang Wang","orcid":"https://orcid.org/0000-0002-0462-7113"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602129","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0003-2886-1585"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100859124"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7154,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.71376553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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":0.9944999814033508,"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":0.8504915237426758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8222029209136963},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7901747822761536},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6596497297286987},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5296654105186462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519291341304779},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42887169122695923},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40047091245651245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.359219491481781},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34815067052841187}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8504915237426758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222029209136963},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7901747822761536},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6596497297286987},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5296654105186462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519291341304779},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42887169122695923},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40047091245651245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.359219491481781},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34815067052841187},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccw.2019.8756690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2019.8756690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","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":19,"referenced_works":["https://openalex.org/W1499698522","https://openalex.org/W2016549506","https://openalex.org/W2032115476","https://openalex.org/W2054642006","https://openalex.org/W2091196730","https://openalex.org/W2095396347","https://openalex.org/W2109519180","https://openalex.org/W2116988482","https://openalex.org/W2125431326","https://openalex.org/W2125834953","https://openalex.org/W2153200718","https://openalex.org/W2170102584","https://openalex.org/W2172292165","https://openalex.org/W2473779510","https://openalex.org/W2502981632","https://openalex.org/W2507200569","https://openalex.org/W2517331439","https://openalex.org/W2997125510","https://openalex.org/W4246783966"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","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":{"Due":[0],"to":[1,93,111,122,145,158,169,234],"the":[2,40,58,72,113,120,136,140,174,177,208,217,224,228],"rapid":[3],"development":[4],"of":[5,7,116,176],"Internet":[6],"Things":[8],"(IoT)":[9],"technology":[10,29],"and":[11,71,99,139,153,180,193,200,216],"artificial":[12],"intelligence,":[13],"there":[14],"is":[15,143,231],"an":[16,35],"urgent":[17],"need":[18],"for":[19],"human-computer":[20],"interaction":[21],"(HCI)":[22],"applications.":[23],"The":[24,129,147,203],"dynamic":[25,95,126],"hand":[26,96,127,161,212],"gesture":[27,41,97,162,198,201,213,225],"recognition":[28,42,100,183,218,229],"based":[30,185],"on":[31,186],"WiFi":[32,109],"signal":[33,76],"plays":[34],"important":[36],"role.":[37],"However,":[38],"although":[39],"system":[43,121,148],"using":[44],"Channel":[45],"State":[46],"Information":[47],"(CSI)":[48],"has":[49],"made":[50],"great":[51],"progress,":[52],"we":[53,88,172],"have":[54],"observed":[55],"that":[56],"in":[57,85],"current":[59],"research,":[60],"most":[61],"commercial":[62],"network":[63],"cards":[64],"can":[65,79],"not":[66],"directly":[67],"extract":[68],"such":[69],"signals,":[70],"easily":[73],"acquired":[74],"received":[75],"strength":[77],"(RSS)":[78],"only":[80],"recognize":[81,117,123],"simple":[82],"gestures.":[83,128],"Therefore,":[84],"this":[86],"paper,":[87],"present":[89],"a":[90,150,154,182],"universal":[91],"framework":[92],"achieve":[94],"detection":[98,132,141,178,214],"with":[101,164,223],"RSS.":[102],"We":[103],"use":[104],"RSS":[105],"from":[106,167],"multiple":[107],"independent":[108],"nodes":[110],"increase":[112],"upper":[114],"limit":[115],"capability,":[118],"enabling":[119],"seven":[124],"complex":[125],"false":[130,137],"trigger":[131],"algorithm":[133,157,179,215],"effectively":[134,206],"eliminates":[135],"triggers,":[138],"accuracy":[142,219,230],"close":[144],"91.38%.":[146],"uses":[149],"state":[151],"machine":[152],"linear":[155],"scale":[156],"accommodate":[159],"different":[160],"speed":[163],"durations":[165],"ranging":[166],"0.9s":[168],"5.4s.":[170],"Furthermore,":[171],"analyze":[173],"errors":[175],"propose":[181],"architecture":[184],"One":[187],"Dimension":[188],"Convolutional":[189],"Neural":[190],"Network":[191],"(1D-CNN)":[192],"two":[194],"data":[195],"collection":[196],"strategies:":[197],"extending":[199],"shifting.":[202],"proposed":[204],"1D-CNN":[205],"overcomes":[207],"error":[209],"caused":[210],"by":[211],"reaches":[220],"86.91%.":[221],"Combined":[222],"shifting":[226],"strategy,":[227],"further":[232],"improved":[233],"93.03%.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
