{"id":"https://openalex.org/W7131860319","doi":"https://doi.org/10.1109/tmc.2026.3668636","title":"DWSen: Dual\u2013Path Wavelet\u2013Attention KAN for Joint Activity and Indoor Location Sensing","display_name":"DWSen: Dual\u2013Path Wavelet\u2013Attention KAN for Joint Activity and Indoor Location Sensing","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7131860319","doi":"https://doi.org/10.1109/tmc.2026.3668636"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2026.3668636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3668636","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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":null,"display_name":"Jiawei Li","orcid":"https://orcid.org/0009-0007-3483-6630"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Li","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-3483-6630","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035606510","display_name":"Shicheng Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicheng Chu","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126981549","display_name":"Zhao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhao Huang","raw_affiliation_strings":["School of Natural and Computing Sciences, University of Aberdeen, Scotland, U.K"],"raw_orcid":"https://orcid.org/0009-0009-4186-9662","affiliations":[{"raw_affiliation_string":"School of Natural and Computing Sciences, University of Aberdeen, Scotland, U.K","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123048388","display_name":"Xiaowen Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Cao","raw_affiliation_strings":["College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4164-071X","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127404850","display_name":"Zongmao Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongmao Yao","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-2492-7164","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127280957","display_name":"Furong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furong Yang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-9214-0175","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127386582","display_name":"Chaoyun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyun Song","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8735-3156","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.17927845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"8","first_page":"11949","last_page":"11964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.4713999927043915,"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":0.4713999927043915,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.09790000319480896,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.07769999653100967,"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/robustness","display_name":"Robustness (evolution)","score":0.6541000008583069},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6096000075340271},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6036999821662903},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4666000008583069},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44940000772476196},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4253000020980835},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4153999984264374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8597999811172485},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6541000008583069},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6036999821662903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49799999594688416},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4068000018596649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3176000118255615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2784999907016754},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2736999988555908},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2026.3668636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3668636","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/326ca6c2-24fb-408c-808e-c9048d08a4cf","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/326ca6c2-24fb-408c-808e-c9048d08a4cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, J, Chu, S, Huang, Z, Cao, X, Yao, Z, Yang, F & Song, C 2026, 'DWSen : Dual-Path Wavelet-Attention KAN for Joint Activity and Indoor Location Sensing', IEEE Transactions on Mobile Computing. https://doi.org/10.1109/TMC.2026.3668636","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2448754832","display_name":null,"funder_award_id":"62501407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8483231715","display_name":null,"funder_award_id":"RGS\\R2\\242546","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Wi-Fi":[0],"sensing\u2014especially":[1],"human":[2],"activity":[3,45,67,135,177],"recognition":[4,46],"(HAR)\u2014is":[5],"emerging":[6],"as":[7,39,163],"a":[8,58,75,85,103,147,169,257],"device-free":[9],"means":[10],"of":[11,133],"understanding":[12],"human\u2013space":[13],"interactions":[14],"for":[15,43,65],"smart":[16],"healthcare":[17],"and":[18,47,68,96,108,119,131,136,150,165,172,178,207,226,235,240],"elder":[19],"care.":[20],"However,":[21],"most":[22,251],"learning-centric":[23],"HAR":[24],"systems":[25],"focus":[26],"on":[27,223],"improving":[28],"feature-extraction":[29],"efficiency":[30],"or":[31,243],"advancing":[32],"neural-network":[33],"architectures":[34],"while":[35],"overlooking":[36],"physical":[37],"information\u2014such":[38],"location\u2014which":[40],"is":[41,74],"crucial":[42],"accurate":[44],"interpretation.":[48],"To":[49],"close":[50],"this":[51],"gap,":[52],"we":[53,203],"introduce":[54],"<bold":[55],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[56],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DWSen</b>,":[57],"Dual-Path":[59],"Wavelet-Attention":[60],"Kolmogorov-Arnold":[61,154],"Network":[62,155],"(KAN)":[63],"framework":[64],"joint":[66,134],"indoor":[69,137],"location":[70,138,179],"sensing.":[71],"Specifically,":[72],"DWSen":[73],"compact":[76],"multi-task":[77],"model":[78],"that":[79,190,229],"combines":[80],"two":[81],"complementary":[82],"encoders":[83],"with":[84,168,247],"lightweight":[86],"decoder.":[87],"First,":[88],"an":[89,184,205],"Attention-Masked":[90],"ResNet-1D":[91],"(AMRN)":[92],"suppresses":[93],"noisy":[94],"subcarriers":[95],"thus":[97,195],"highlights":[98],"discriminative":[99],"temporal":[100,122],"patterns.":[101],"Meanwhile,":[102],"Dual":[104],"Laplace":[105],"Wavelet":[106],"Convolution":[107],"bidirectional":[109],"GRU":[110],"(Bi-GRU)":[111],"branch":[112],"(DLWCB)":[113],"injects":[114],"physics-aware,":[115],"band-pass":[116],"time\u2013frequency":[117],"cues":[118],"captures":[120],"long-range":[121],"dependencies":[123],"in":[124,265],"CSI":[125],"sequences,":[126],"thereby":[127],"enhancing":[128],"the":[129,141,193],"accuracy":[130,237],"robustness":[132],"recognition.":[139],"Thereafter,":[140],"dual":[142],"features":[143],"are":[144],"fused":[145],"at":[146,214],"late":[148],"stage":[149],"decoded":[151],"by":[152,218],"Wavelet-based":[153],"(WavKAN)":[156],"heads,":[157],"which":[158],"incorporate":[159],"analytical":[160],"wavelet":[161],"kernels":[162],"priors":[164],"combine":[166],"them":[167],"nonlinear":[170],"path":[171,260],"batch":[173],"normalization":[174],"to":[175,256],"generate":[176],"logits.":[180],"Moreover,":[181],"training":[182],"employs":[183],"uncertainty-based":[185],"Adaptive":[186],"Weighted":[187],"Loss":[188],"(AWL)":[189],"dynamically":[191],"balances":[192],"objectives,":[194],"mitigating":[196],"negative":[197],"transfer":[198],"without":[199],"manual":[200],"tuning.":[201],"Additionally,":[202],"collected":[204],"activity-":[206],"location-sensing":[208],"dataset,":[209],"ElderAL-CSI,":[210],"covering":[211],"six":[212],"activities":[213],"nine":[215],"locations":[216],"performed":[217],"three":[219],"participants.":[220],"Extensive":[221],"experiments":[222],"ARIL,":[224],"CSIDA,":[225],"ElderAL-CSI":[227],"demonstrate":[228],"our":[230],"method":[231],"attains":[232],"94.24%/98.20%,":[233],"94.37%/99.65%,":[234],"99.56%/85.20%":[236],"(activity/location),":[238],"respectively,":[239],"offers":[241],"competitive":[242],"superior":[244],"performance":[245],"compared":[246],"recent":[248],"baselines":[249],"across":[250],"settings.":[252],"These":[253],"results":[254],"point":[255],"low-cost,":[258],"privacy-friendly":[259],"toward":[261],"reliable":[262],"ambient":[263],"monitoring":[264],"real":[266],"homes.":[267]},"counts_by_year":[],"updated_date":"2026-07-07T06:14:10.401900","created_date":"2026-02-28T00:00:00"}