{"id":"https://openalex.org/W7124470822","doi":"https://doi.org/10.1109/jiot.2026.3654610","title":"MuECNet: A Lightweight Multiuser Enhanced Convolutional Architecture for Robust CSI-Based Human Activity Recognition in Real-World IoT Environments","display_name":"MuECNet: A Lightweight Multiuser Enhanced Convolutional Architecture for Robust CSI-Based Human Activity Recognition in Real-World IoT Environments","publication_year":2026,"publication_date":"2026-01-15","ids":{"openalex":"https://openalex.org/W7124470822","doi":"https://doi.org/10.1109/jiot.2026.3654610"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3654610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3654610","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/A5102616189","display_name":"Fucheng Miao","orcid":"https://orcid.org/0009-0009-0288-7809"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fucheng Miao","raw_affiliation_strings":["Graduate School of Science and Technology, Shinshu University, Nagano, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016692841","display_name":"Osamu Takyu","orcid":null},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Takyu","raw_affiliation_strings":["Graduate School of Science and Technology, Shinshu University, Nagano, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3221-6714","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122025009","display_name":"Lin Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lin Shan","raw_affiliation_strings":["Organization for IT Initiatives, Shinshu University, Matsumoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0204-005X","affiliations":[{"raw_affiliation_string":"Organization for IT Initiatives, Shinshu University, Matsumoto, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"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/A5034781219","display_name":"Ou Zhao","orcid":"https://orcid.org/0000-0002-6293-2765"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ou Zhao","raw_affiliation_strings":["Organization for IT Initiatives, Shinshu University, Matsumoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6293-2765","affiliations":[{"raw_affiliation_string":"Organization for IT Initiatives, Shinshu University, Matsumoto, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123199048","display_name":"Tomoaki Ohtsuki","orcid":null},"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":"last","author":{"id":"https://openalex.org/A5123183294","display_name":"Guan Gui","orcid":null},"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":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05014894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"6","first_page":"12209","last_page":"12219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.8652999997138977,"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":0.8652999997138977,"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":0.018400000408291817,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.014399999752640724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6593999862670898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5993000268936157},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5842999815940857},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5473999977111816},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5296000242233276},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5084999799728394},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4627000093460083},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.45249998569488525},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579000234603882},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6593999862670898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5842999815940857},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4627000093460083},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4074000120162964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.35030001401901245},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33559998869895935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3654610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3654610","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/G7316793151","display_name":null,"funder_award_id":"JP24K00882","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2899145720","https://openalex.org/W2938514801","https://openalex.org/W2981892815","https://openalex.org/W3018960895","https://openalex.org/W3128348732","https://openalex.org/W3173512142","https://openalex.org/W3176590546","https://openalex.org/W3177106557","https://openalex.org/W3216783607","https://openalex.org/W4200465366","https://openalex.org/W4205335850","https://openalex.org/W4283705653","https://openalex.org/W4285248638","https://openalex.org/W4285818870","https://openalex.org/W4312284955","https://openalex.org/W4312829261","https://openalex.org/W4320005503","https://openalex.org/W4322627157","https://openalex.org/W4365421169","https://openalex.org/W4376481282","https://openalex.org/W4385819684","https://openalex.org/W4386634511","https://openalex.org/W4386766864","https://openalex.org/W4389934379","https://openalex.org/W4390284935","https://openalex.org/W4390822412","https://openalex.org/W4391341370","https://openalex.org/W4391742790","https://openalex.org/W4396594900","https://openalex.org/W4398757477","https://openalex.org/W4401990498","https://openalex.org/W4402592612","https://openalex.org/W4403021224","https://openalex.org/W4405178969","https://openalex.org/W4407825918","https://openalex.org/W4408791157","https://openalex.org/W4408941363","https://openalex.org/W4411667466"],"related_works":[],"abstract_inverted_index":{"Wi-Fi":[0],"Channel":[1],"State":[2],"Information":[3],"(CSI)-based":[4],"human":[5],"activity":[6,117,135],"recognition":[7],"(HAR)":[8],"leverages":[9],"rich":[10],"channel":[11,38,94,106,126],"propagation":[12,95],"characteristics":[13],"to":[14,66,133,183,198],"enable":[15],"non-intrusive,":[16],"privacy-preserving,":[17],"and":[18,40,60,109,124,137,153,164,175,210,221],"device-free":[19],"sensing.":[20],"In":[21],"multi-user":[22],"wireless":[23,219],"environments,":[24],"however,":[25],"HAR":[26],"faces":[27],"significant":[28],"challenges,":[29],"including":[30],"multi-path":[31],"interference,":[32],"signal":[33],"overlap,":[34],"label":[35,139],"ambiguity,":[36],"cross-domain":[37],"variability,":[39],"constraints":[41],"imposed":[42],"by":[43,181],"real-time":[44],"deployment":[45],"on":[46,142],"resource-limited":[47],"edge":[48],"devices.":[49],"This":[50],"paper":[51],"presents":[52],"MuECNet":[53,75,148,206],"(Multi-user":[54],"Enhanced":[55,82],"Convolutional":[56,83],"Network),":[57],"a":[58,98,208],"lightweight":[59],"modular":[61],"deep":[62],"learning":[63],"framework":[64],"designed":[65],"operate":[67],"under":[68,122],"realistic":[69],"multi-user,":[70],"multi-activity":[71],"CSI":[72],"sensing":[73,216],"conditions.":[74],"integrates":[76],"three":[77],"key":[78],"components:":[79],"(i)":[80],"an":[81,111],"Encoding":[84],"Module":[85,114],"(ECEM)":[86],"for":[87,104,115,213],"fine-grained":[88],"temporal\u2013spectral":[89],"feature":[90],"extraction":[91],"that":[92,147,205],"preserves":[93],"signatures;":[96],"(ii)":[97],"Branch-wise":[99],"Feature":[100],"Normalization":[101],"(BFN)":[102],"module":[103],"user-specific":[105],"representation":[107],"learning;":[108],"(iii)":[110],"adaptive":[112],"Decision":[113],"multi-label":[116],"inference.":[118],"To":[119],"improve":[120],"robustness":[121],"diverse":[123],"dynamic":[125],"conditions,":[127],"we":[128],"introduce":[129],"MixUp-based":[130],"data":[131],"augmentation":[132],"emulate":[134],"overlap":[136],"reduce":[138],"ambiguity.":[140],"Evaluations":[141],"the":[143,188],"WiMANS":[144],"dataset":[145],"show":[146],"achieves":[149],"64.46%":[150],"(2.4":[151],"GHz)":[152,156],"64.15%":[154],"(5":[155],"accuracy":[157,194],"with":[158,193],"only":[159],"1.19M":[160],"parameters,":[161],"1.74G":[162],"FLOPs,":[163],"0.28":[165],"s":[166],"inference":[167],"latency,":[168],"outperforming":[169],"baseline":[170],"models":[171],"such":[172],"as":[173],"ABLSTM":[174],"THAT":[176],"while":[177],"reducing":[178],"model":[179],"size":[180],"up":[182,197],"75%.":[184],"Ablation":[185],"studies":[186],"confirm":[187],"contribution":[189],"of":[190,196],"each":[191],"module,":[192],"drops":[195],"6.41%":[199],"when":[200],"removed.":[201],"These":[202],"results":[203],"demonstrate":[204],"provides":[207],"robust":[209],"communication-efficient":[211],"solution":[212],"integrating":[214],"CSI-based":[215],"into":[217],"future":[218],"networks":[220],"IoT":[222],"systems.":[223]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-01-17T00:00:00"}
