{"id":"https://openalex.org/W4286544126","doi":"https://doi.org/10.1109/jiot.2022.3192973","title":"Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning","display_name":"Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286544126","doi":"https://doi.org/10.1109/jiot.2022.3192973"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3192973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3192973","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/A5057129764","display_name":"Zhenguo Shi","orcid":"https://orcid.org/0000-0002-7207-547X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhenguo Shi","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","School of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044120332","display_name":"Qingqing Cheng","orcid":"https://orcid.org/0000-0003-2664-5176"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qingqing Cheng","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706723","display_name":"J. Andrew Zhang","orcid":"https://orcid.org/0000-0002-6102-3762"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Andrew Zhang","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073709711","display_name":"Richard Yi Da Xu","orcid":"https://orcid.org/0000-0003-2080-4762"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Richard Yi Da Xu","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Kowloon Tsai, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Kowloon Tsai, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057129764"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":4.9704,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96101253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"9","issue":"24","first_page":"24643","last_page":"24654"},"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":0.9977999925613403,"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/T10860","display_name":"Speech and Audio Processing","score":0.9882000088691711,"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/computer-science","display_name":"Computer science","score":0.871421217918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.63763827085495},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6104999780654907},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6024069786071777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5620657205581665},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5441225171089172},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5430405139923096},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5430189967155457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5008018016815186},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4817940592765808},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46658164262771606},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45373573899269104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45257067680358887},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4337741732597351},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3581145405769348},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12354704737663269},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10617062449455261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.871421217918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63763827085495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6104999780654907},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6024069786071777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5620657205581665},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5441225171089172},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5430405139923096},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5430189967155457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5008018016815186},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4817940592765808},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46658164262771606},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45373573899269104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45257067680358887},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4337741732597351},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3581145405769348},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12354704737663269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10617062449455261},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3192973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3192973","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/G8445541706","display_name":null,"funder_award_id":"DP210101411","funder_id":"https://openalex.org/F4320315885","funder_display_name":"Australian Government"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1498305593","https://openalex.org/W1836465849","https://openalex.org/W2064675550","https://openalex.org/W2089695767","https://openalex.org/W2130942839","https://openalex.org/W2338892592","https://openalex.org/W2594230123","https://openalex.org/W2743415265","https://openalex.org/W2755767288","https://openalex.org/W2763219399","https://openalex.org/W2796567768","https://openalex.org/W2883074505","https://openalex.org/W2896542121","https://openalex.org/W2897132279","https://openalex.org/W2899145720","https://openalex.org/W2911091942","https://openalex.org/W2918555348","https://openalex.org/W2950821050","https://openalex.org/W2951555353","https://openalex.org/W2958506234","https://openalex.org/W2959586908","https://openalex.org/W2963521811","https://openalex.org/W2963716836","https://openalex.org/W2964192401","https://openalex.org/W2969645632","https://openalex.org/W2996971795","https://openalex.org/W3017892785","https://openalex.org/W3025388795","https://openalex.org/W3045907623","https://openalex.org/W3047018611","https://openalex.org/W3088369757","https://openalex.org/W3106662783","https://openalex.org/W3121283712","https://openalex.org/W3161955938","https://openalex.org/W3193729710","https://openalex.org/W3199677950","https://openalex.org/W3205382111","https://openalex.org/W4205556338","https://openalex.org/W6629622560","https://openalex.org/W6638667902","https://openalex.org/W6679436768","https://openalex.org/W6685265622"],"related_works":["https://openalex.org/W2050078012","https://openalex.org/W2006651773","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W4254349500","https://openalex.org/W2360307734","https://openalex.org/W3118581235","https://openalex.org/W4379526417"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2,18,51],"demonstrated":[3],"its":[4],"great":[5],"potential":[6],"in":[7,22,96,143,213],"channel":[8],"state":[9,194],"information":[10],"(CSI)-based":[11],"human":[12,197],"activity":[13,122],"recognition":[14,173,217],"(HAR),":[15],"and":[16,26,74,78,126,180,219],"hence":[17],"attracted":[19],"increasing":[20],"attention":[21],"both":[23,216],"the":[24,42,89,104,115,128,132,147,158,172,193],"industry":[25],"academic":[27],"communities.":[28],"While":[29],"promising,":[30],"most":[31],"existing":[32,209],"high-accuracy":[33],"methodologies":[34],"require":[35],"to":[36,45,58,107,121,156,161,183],"retrain":[37],"their":[38,53],"models":[39],"when":[40],"applying":[41],"previous-trained":[43],"ones":[44],"a":[46,177],"new/unseen":[47,97],"environment.":[48],"This":[49],"issue":[50],"limited":[52],"practical":[54],"usabilities.":[55],"In":[56],"order":[57],"overcome":[59],"this":[60,62],"challenge,":[61],"article":[63],"proposes":[64],"an":[65,70],"innovative":[66],"scheme,":[67],"which":[68,142],"combines":[69],"activity-related":[71],"feature":[72,135,152],"extraction":[73],"enhancement":[75],"(AFEE)":[76],"method":[77,106],"matching":[79],"network":[80],"(AFEE-MatNet).":[81],"The":[82],"proposed":[83,205],"scheme":[84,182],"is":[85],"\u201cone-fits-all,\u201d":[86],"meaning":[87],"that":[88,188,203],"trained":[90],"model":[91],"can":[92],"be":[93],"directly":[94],"applied":[95],"environments":[98],"without":[99],"any":[100],"retraining.":[101],"We":[102],"introduce":[103,176],"AFEE":[105,139],"enhance":[108],"CSI":[109],"quality":[110],"by":[111,138,192],"eliminating":[112],"noise.":[113],"Specifically,":[114],"approach":[116],"mitigates":[117],"environmental":[118],"noises":[119],"unrelated":[120],"while":[123],"better":[124],"compressing":[125],"preserving":[127],"behavior-related":[129],"information.":[130],"Moreover,":[131],"size":[133],"of":[134,196,215],"signals":[136],"generated":[137],"are":[140],"reduced,":[141],"turn":[144],"significantly":[145,207],"shortens":[146],"training":[148,220],"time.":[149,221],"For":[150],"effective":[151],"extraction,":[153],"we":[154,175],"propose":[155],"use":[157],"MatNet":[159],"architecture":[160],"learn":[162],"transferable":[163],"features":[164],"shared":[165],"among":[166],"source":[167],"environments.":[168],"To":[169],"further":[170],"improve":[171],"performance,":[174],"prediction":[178],"checking":[179],"correction":[181],"rectify":[184],"some":[185],"classification":[186],"errors":[187],"do":[189],"not":[190],"abide":[191],"transition":[195],"behaviors.":[198],"Extensive":[199],"experimental":[200],"results":[201],"demonstrate":[202],"our":[204],"AFEE-MatNet":[206],"outperforms":[208],"state-of-the-art":[210],"HAR":[211],"methods,":[212],"terms":[214],"accuracy":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}