{"id":"https://openalex.org/W7154139237","doi":"https://doi.org/10.1109/tccn.2026.3683215","title":"Neural Approaches to Wi-Fi CSI-Based Human Activity Recognition: Architectures and Generalization","display_name":"Neural Approaches to Wi-Fi CSI-Based Human Activity Recognition: Architectures and Generalization","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154139237","doi":"https://doi.org/10.1109/tccn.2026.3683215"},"language":null,"primary_location":{"id":"doi:10.1109/tccn.2026.3683215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3683215","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Transactions on Cognitive Communications and Networking","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/A5102787243","display_name":"Zhengran He","orcid":"https://orcid.org/0000-0003-4657-7457"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhengran He","raw_affiliation_strings":["School of Science for Open and Environmental Systems, Keio University, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4657-7457","affiliations":[{"raw_affiliation_string":"School of Science for Open and Environmental Systems, Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119266230","display_name":"Yue Yin","orcid":"https://orcid.org/0009-0005-5685-0367"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yue Yin","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0009-0005-5685-0367","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068994330","display_name":"Mondher Bouazizi","orcid":"https://orcid.org/0000-0001-7055-9318"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mondher Bouazizi","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7055-9318","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133498274","display_name":"Tomoaki Ohtsuki","orcid":"https://orcid.org/0000-0003-3961-1426"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3961-1426","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133505120","display_name":"Dusit Niyato","orcid":"https://orcid.org/0000-0002-7442-7416"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dusit Niyato","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7442-7416","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133481544","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Gui","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3888-2881","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.656,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97985454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"7186","last_page":"7200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.5184999704360962,"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":0.5184999704360962,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.1582999974489212,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11158","display_name":"Wireless Networks and Protocols","score":0.05959999933838844,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6610000133514404},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.508899986743927},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.33489999175071716},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.27869999408721924},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.26919999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489999771118164},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6610000133514404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.508899986743927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2849000096321106},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25540000200271606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24390000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2026.3683215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3683215","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Transactions on Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"WiFi-based":[0],"passive":[1,65],"sensing":[2,36,66,121,144,240],"technology":[3],"has":[4,69],"become":[5],"a":[6,18,109,141,156],"key":[7,210],"enabler":[8],"in":[9,73,80,98,118,212,242],"the":[10,41,57,87,115,198,213,232],"rapidly":[11],"advancing":[12],"field":[13],"of":[14,21,59,89,114,131,143,204,234],"wireless":[15],"communications,":[16],"supporting":[17],"wide":[19],"range":[20],"applications":[22],"such":[23,185],"as":[24,186],"human":[25],"activity":[26],"recognition":[27],"(HAR),":[28],"gesture":[29],"recognition,":[30],"and":[31,51,76,102,111,135,150,176,191,201,222,237],"indoor":[32],"localization.":[33],"Traditional":[34],"WiFi":[35,68,90,120,239],"methods":[37],"primarily":[38],"rely":[39],"on":[40,147,159],"received":[42],"signal":[43,132],"strength":[44],"indicator":[45],"(RSSI),":[46],"which":[47],"provides":[48,108],"coarse-grained":[49],"information":[50,63],"suffers":[52],"from":[53],"limited":[54],"reliability.":[55],"With":[56],"emergence":[58],"fine-grained":[60],"channel":[61],"state":[62],"(CSI),":[64],"using":[67],"achieved":[70],"significant":[71],"improvements":[72],"accuracy,":[74],"robustness,":[75],"versatility.":[77],"Recent":[78],"advances":[79],"deep":[81],"learning":[82],"(DL)":[83],"have":[84],"greatly":[85],"accelerated":[86],"development":[88,233],"CSI-based":[91],"sensing,":[92],"owing":[93],"to":[94,230],"its":[95],"powerful":[96],"capabilities":[97],"automatic":[99],"feature":[100],"extraction":[101],"complex":[103],"pattern":[104],"modeling.":[105],"This":[106],"survey":[107],"comprehensive":[110],"up-to-date":[112],"overview":[113,130],"latest":[116],"developments":[117],"DL-based":[119],"techniques":[122],"for":[123],"HAR.":[124],"The":[125],"discussion":[126],"begins":[127],"with":[128],"an":[129],"propagation":[133],"characteristics":[134],"CSI":[136],"acquisition":[137],"methods,":[138],"followed":[139],"by":[140],"classification":[142],"tasks":[145],"based":[146],"data":[148],"modalities":[149],"application":[151],"scenarios.":[152],"We":[153,225],"then":[154],"present":[155],"detailed":[157],"review":[158],"commonly":[160],"adopted":[161],"neural":[162,167,171],"network":[163],"architectures,":[164],"including":[165,215],"convolutional":[166],"networks":[168,172],"(CNNs),":[169],"recurrent":[170],"(RNNs),":[173],"attention-based":[174],"models,":[175],"Transformer":[177],"variants.":[178],"Furthermore,":[179],"we":[180,208],"examine":[181],"recent":[182],"methodological":[183],"advancements":[184],"domain":[187],"adaptation,":[188],"continual":[189],"learning,":[190],"self-supervised":[192],"learning.":[193],"A":[194],"comparative":[195],"analysis":[196],"highlights":[197],"strengths,":[199],"limitations,":[200],"practical":[202],"performance":[203],"various":[205],"approaches.":[206],"Finally,":[207],"discuss":[209],"challenges":[211],"field,":[214],"cross-domain":[216],"generalization,":[217],"real-time":[218],"processing,":[219],"privacy":[220],"concerns,":[221],"multi-modal":[223],"fusion.":[224],"outline":[226],"potential":[227],"research":[228],"directions":[229],"support":[231],"robust,":[235],"scalable,":[236],"deployable":[238],"systems":[241],"real-world":[243],"environments.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-17T05:58:53.018234","created_date":"2026-04-14T00:00:00"}