{"id":"https://openalex.org/W4410226668","doi":"https://doi.org/10.1109/access.2025.3568505","title":"Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network","display_name":"Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410226668","doi":"https://doi.org/10.1109/access.2025.3568505"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3568505","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3568505","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3568505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102791136","display_name":"Hyeon-Ju Lee","orcid":"https://orcid.org/0009-0004-8485-5467"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Ju Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea","institution_ids":["https://openalex.org/I189442560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030898136","display_name":"Seok-Jun Buu","orcid":"https://orcid.org/0000-0002-3940-3611"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seok-Jun Buu","raw_affiliation_strings":["Department of Computer Science and Engineering, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3940-3611","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea","institution_ids":["https://openalex.org/I189442560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0704,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77219077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"84855","last_page":"84869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9818999767303467,"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/computer-science","display_name":"Computer science","score":0.6947014927864075},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6565412878990173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6072849631309509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6001318097114563},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5477190017700195},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5186535716056824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3383450210094452},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07922002673149109},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07561609148979187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947014927864075},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6565412878990173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6072849631309509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6001318097114563},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5477190017700195},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5186535716056824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3383450210094452},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07922002673149109},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07561609148979187},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3568505","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3568505","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eb82e1f3bffd49a7b251fe0e82b4d6fb","is_oa":true,"landing_page_url":"https://doaj.org/article/eb82e1f3bffd49a7b251fe0e82b4d6fb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 84855-84869 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3568505","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3568505","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321318","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2110485445","https://openalex.org/W2112796928","https://openalex.org/W2157331557","https://openalex.org/W2618530766","https://openalex.org/W2763219399","https://openalex.org/W2950821050","https://openalex.org/W2963775347","https://openalex.org/W3094502228","https://openalex.org/W3162538709","https://openalex.org/W3164845984","https://openalex.org/W3203019240","https://openalex.org/W3215388118","https://openalex.org/W4205469029","https://openalex.org/W4214928356","https://openalex.org/W4220896090","https://openalex.org/W4283687457","https://openalex.org/W4286544126","https://openalex.org/W4302760196","https://openalex.org/W4307850727","https://openalex.org/W4312284955","https://openalex.org/W4384916838","https://openalex.org/W4385245566","https://openalex.org/W4387359831","https://openalex.org/W4391454495","https://openalex.org/W4399375643","https://openalex.org/W4399800964","https://openalex.org/W4401338324","https://openalex.org/W4402673224","https://openalex.org/W4404700206"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4391621807","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"Wi-Fi-enabled":[0],"vision":[1],"offers":[2],"a":[3,35,64],"transformative":[4],"paradigm":[5],"for":[6,74,82],"non-optical":[7,157],"pose":[8,26,100,158],"estimation,":[9],"particularly":[10],"in":[11,42,128,156,163],"occluded":[12],"or":[13],"privacy-sensitive":[14],"environments":[15],"where":[16],"traditional":[17],"visual":[18],"systems":[19],"falter.":[20],"Despite":[21],"its":[22,154],"promise,":[23],"extracting":[24],"reliable":[25],"information":[27],"from":[28],"Wi-Fi":[29],"Channel":[30],"State":[31],"Information":[32],"(CSI)":[33],"remains":[34],"formidable":[36],"challenge":[37],"due":[38],"to":[39],"spatial":[40,76],"variability":[41],"torso":[43],"localization,":[44],"cross-view":[45,103],"discrepancies,":[46],"and":[47,55,79,104,121,137,160],"inherent":[48],"signal":[49],"perturbations":[50],"caused":[51],"by":[52,126],"multipath":[53],"propagation":[54],"environmental":[56],"noise.":[57],"To":[58],"address":[59],"these":[60],"challenges,":[61],"we":[62],"propose":[63],"Convolutional":[65],"Transformer":[66],"Network,":[67],"an":[68],"architecture":[69],"that":[70],"integrates":[71],"convolutional":[72],"layers":[73,81],"localized":[75],"feature":[77],"extraction":[78],"transformer":[80],"global":[83],"temporal":[84],"dependency":[85],"modeling.":[86],"This":[87],"integrative":[88],"design":[89],"effectively":[90],"captures":[91],"the":[92,110,115,119],"spatiotemporal":[93],"dynamics":[94],"of":[95],"CSI":[96],"signals,":[97],"enabling":[98],"robust":[99,147],"estimation":[101,159],"under":[102],"spatially-variant":[105],"conditions.":[106],"When":[107],"evaluated":[108],"on":[109],"benchmark":[111],"WIDAR":[112],"3.0":[113],"datasets,":[114],"proposed":[116],"model":[117],"outperforms":[118,131],"structural":[120],"sequential":[122,132],"learning":[123],"baseline":[124],"CNN-GRU":[125],"1.72%":[127],"accuracy.":[129],"It":[130],"models":[133,139],"(RNN,":[134],"GRU,":[135],"LSTM)":[136],"image":[138],"(CNN,":[140],"ViT)":[141],"across":[142],"all":[143],"key":[144],"metrics,":[145],"demonstrating":[146],"spatial-temporal":[148],"modeling":[149],"capabilities.":[150],"These":[151],"results":[152],"highlight":[153],"advancement":[155],"practical":[161],"applicability":[162],"real-world":[164],"scenarios.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}