{"id":"https://openalex.org/W3201592184","doi":"https://doi.org/10.1109/jiot.2021.3114309","title":"WiFi-Based Cross-Domain Gesture Recognition via Modified Prototypical Networks","display_name":"WiFi-Based Cross-Domain Gesture Recognition via Modified Prototypical Networks","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3201592184","doi":"https://doi.org/10.1109/jiot.2021.3114309","mag":"3201592184"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3114309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3114309","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5059156110","display_name":"Xie Zhang","orcid":"https://orcid.org/0000-0003-4103-6256"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Zhang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4103-6256","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086395785","display_name":"Chengpei Tang","orcid":"https://orcid.org/0000-0002-8139-6742"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpei Tang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8139-6742","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120143125","display_name":"Kang Yin","orcid":"https://orcid.org/0000-0001-9832-5185"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Yin","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9832-5185","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006679054","display_name":"Qingqian Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqian Ni","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.3716,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.93280374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":"11","first_page":"8584","last_page":"8596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8403733968734741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.602771520614624},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5732356309890747},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5668574571609497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5571465492248535},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5157118439674377},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5148612856864929},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5109838247299194},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5060107111930847},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4775736629962921},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46187758445739746},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44338247179985046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35780590772628784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08469760417938232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8403733968734741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.602771520614624},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5732356309890747},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5668574571609497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5571465492248535},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5157118439674377},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5148612856864929},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5109838247299194},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5060107111930847},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4775736629962921},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46187758445739746},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44338247179985046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35780590772628784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08469760417938232},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2021.3114309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3114309","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2144801811","display_name":null,"funder_award_id":"2014B090901057","funder_id":"https://openalex.org/F4320327772","funder_display_name":"Guangdong Provincial Applied Science and Technology Research and Development Program"},{"id":"https://openalex.org/G3277432697","display_name":null,"funder_award_id":"2016B090918110","funder_id":"https://openalex.org/F4320327772","funder_display_name":"Guangdong Provincial Applied Science and Technology Research and Development Program"},{"id":"https://openalex.org/G7521115780","display_name":null,"funder_award_id":"2018A030313797","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320327772","display_name":"Guangdong Provincial Applied Science and Technology Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1977995219","https://openalex.org/W2028292455","https://openalex.org/W2089695767","https://openalex.org/W2143228105","https://openalex.org/W2167328503","https://openalex.org/W2194775991","https://openalex.org/W2563517707","https://openalex.org/W2601450892","https://openalex.org/W2626807326","https://openalex.org/W2725294424","https://openalex.org/W2741911604","https://openalex.org/W2748628104","https://openalex.org/W2781895531","https://openalex.org/W2783857023","https://openalex.org/W2794843057","https://openalex.org/W2889225866","https://openalex.org/W2889692286","https://openalex.org/W2896542121","https://openalex.org/W2897132279","https://openalex.org/W2901566077","https://openalex.org/W2905473748","https://openalex.org/W2905589284","https://openalex.org/W2909052447","https://openalex.org/W2938514801","https://openalex.org/W2938652275","https://openalex.org/W2942467756","https://openalex.org/W2944114271","https://openalex.org/W2944172587","https://openalex.org/W2950821050","https://openalex.org/W2952065976","https://openalex.org/W2969645632","https://openalex.org/W2971733775","https://openalex.org/W2974216175","https://openalex.org/W2980021985","https://openalex.org/W3006408325","https://openalex.org/W3023621826","https://openalex.org/W3035892629","https://openalex.org/W3045907623","https://openalex.org/W3093448691","https://openalex.org/W3106589709","https://openalex.org/W3110429283","https://openalex.org/W3118284102","https://openalex.org/W6638667902","https://openalex.org/W6657026069","https://openalex.org/W6684696554","https://openalex.org/W6735236233","https://openalex.org/W6781533906"],"related_works":["https://openalex.org/W2537963312","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","https://openalex.org/W3174643231"],"abstract_inverted_index":{"Numerous":[0],"deep":[1,142],"learning":[2],"studies":[3],"have":[4],"achieved":[5],"remarkable":[6],"advances":[7],"in":[8,109,187],"WiFi-based":[9,57],"human":[10],"gesture":[11,27,59,116],"recognition":[12,37,60,219],"(HGR)":[13],"using":[14,97],"channel":[15],"state":[16],"information":[17],"(CSI).":[18],"However,":[19],"since":[20],"the":[21,25,44,74,79,98,101,106,110,115,121,124,160,167,174,188,205,226],"CSI":[22,126],"patterns":[23,127],"of":[24,76,94,123,140,182],"same":[26,80],"change":[28],"across":[29],"domains":[30],"(i.e.,":[31,148],"users,":[32],"environments,":[33],"locations,":[34],"and":[35,84,105,145,150,204,221],"orientations),":[36],"accuracy":[38,220,224],"might":[39],"degrade":[40],"significantly":[41],"when":[42],"applying":[43],"trained":[45,155],"model":[46],"to":[47,68,113],"new":[48,189],"domains.":[49],"To":[50],"overcome":[51],"this":[52],"problem,":[53],"we":[54,130],"propose":[55],"a":[56,65,132,141,146,180],"cross-domain":[58,125,175,223],"system":[61],"(WiGr)":[62],"which":[63,118,138],"has":[64],"domain-transferable":[66,168],"mapping":[67],"construct":[69],"an":[70],"embedding":[71,111],"space":[72,112],"where":[73],"representations":[75],"samples":[77],"from":[78,86,164],"class":[81,107],"are":[82,89,207],"clustered,":[83],"those":[85],"different":[87],"classes":[88],"separated.":[90],"The":[91,154,211],"key":[92],"insight":[93],"WiGr":[95,172,215],"is":[96,200],"similarity":[99],"between":[100],"query":[102],"sample":[103],"representation":[104],"prototypes":[108],"perform":[114],"classification,":[117],"can":[119,158],"avoid":[120],"influence":[122],"change.":[128],"Meanwhile,":[129],"present":[131],"dual-path":[133,147],"prototypical":[134],"network":[135],"(Dual-Path":[136],"PN)":[137],"consists":[139],"feature":[143,156],"extractor":[144,157],"Path-A":[149],"Path-B":[151],"substructures)":[152],"recognizer.":[153],"extract":[159],"gesture-related":[161],"domain-independent":[162],"features":[163],"CSI,":[165],"namely,":[166],"mapping.":[169],"In":[170],"addition,":[171],"implements":[173],"HGR":[176],"based":[177],"on":[178,195],"only":[179],"pair":[181],"WiFi":[183],"devices":[184],"without":[185],"retraining":[186],"domain.":[190],"We":[191],"conduct":[192],"comprehensive":[193],"experiments":[194],"three":[196],"data":[197,209],"sets,":[198],"one":[199],"built":[201],"by":[202],"ourselves":[203],"others":[206],"public":[208],"sets.":[210],"evaluation":[212],"suggests":[213],"that":[214],"achieves":[216],"86.8%\u201392.7%":[217],"in-domain":[218],"83.5%\u201393%":[222],"under":[225],"four-shot":[227],"condition.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}