{"id":"https://openalex.org/W4411551356","doi":"https://doi.org/10.1109/lsp.2025.3582562","title":"WiFi Person Pose Estimation via Interpretable Convolutional Modular for Person Spatial Map","display_name":"WiFi Person Pose Estimation via Interpretable Convolutional Modular for Person Spatial Map","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411551356","doi":"https://doi.org/10.1109/lsp.2025.3582562"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3582562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3582562","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5118596098","display_name":"Vilaiphone Sulixay","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Vilaiphone Sulixay","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063517725","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-5686-4946"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102988510","display_name":"Yuanzhi Ye","orcid":"https://orcid.org/0000-0002-1385-7025"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhi Ye","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699659","display_name":"Xu Li","orcid":"https://orcid.org/0000-0003-2772-7114"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["School of Science, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046280013","display_name":"Zheng Pei","orcid":"https://orcid.org/0000-0001-5757-6607"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Pei","raw_affiliation_strings":["School of Science, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5118596098"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16562196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"2689","last_page":"2693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.7349618673324585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7004519701004028},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6622450351715088},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6439841985702515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5831456184387207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5822653770446777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4897627830505371},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45555102825164795},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0977734923362732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349618673324585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7004519701004028},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6622450351715088},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6439841985702515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5831456184387207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5822653770446777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4897627830505371},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45555102825164795},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0977734923362732},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3582562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3582562","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6838816535","display_name":null,"funder_award_id":"61801398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1628685102","https://openalex.org/W1983301216","https://openalex.org/W2089695767","https://openalex.org/W2129045955","https://openalex.org/W2338892592","https://openalex.org/W2559085405","https://openalex.org/W2562451352","https://openalex.org/W2630837129","https://openalex.org/W2762232490","https://openalex.org/W2810706287","https://openalex.org/W2950821050","https://openalex.org/W2962319395","https://openalex.org/W2997222501","https://openalex.org/W3010205642","https://openalex.org/W3103144676","https://openalex.org/W3115190138","https://openalex.org/W4205533812","https://openalex.org/W4229072380","https://openalex.org/W4295832251","https://openalex.org/W4361275494","https://openalex.org/W4361801761","https://openalex.org/W4376607539","https://openalex.org/W4380301268","https://openalex.org/W4381734352","https://openalex.org/W4394640090","https://openalex.org/W4394661728","https://openalex.org/W4402167564","https://openalex.org/W4402753867","https://openalex.org/W4403771318","https://openalex.org/W6739696289","https://openalex.org/W6864668900"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W2378076731","https://openalex.org/W3127959533","https://openalex.org/W4286888643","https://openalex.org/W4391621807","https://openalex.org/W3210795196","https://openalex.org/W4387967917","https://openalex.org/W2249385795","https://openalex.org/W2088988140","https://openalex.org/W3171015545"],"abstract_inverted_index":{"With":[0],"the":[1,63],"rise":[2],"of":[3,65,104],"smart":[4],"home":[5],"applications,":[6],"WiFi-based":[7],"posture":[8],"estimation":[9],"has":[10],"become":[11],"a":[12,71,83,88],"research":[13],"focus.":[14],"Existing":[15],"methods":[16],"often":[17],"emphasize":[18],"end-to-end":[19],"feature":[20],"extraction":[21],"while":[22,42],"neglecting":[23],"high-resolution":[24,66],"intermediate":[25],"spatial":[26,67,79,89],"features.":[27],"We":[28],"observe":[29],"that":[30],"horizontal":[31],"and":[32,82,109],"vertical":[33],"antennas":[34],"capture":[35],"electromagnetic":[36],"wave":[37],"distributions":[38],"in":[39,97],"different":[40],"directions,":[41],"multiple":[43],"subcarrier":[44],"frequencies":[45],"inherently":[46],"enhance":[47],"multipath":[48],"resolution.":[49],"By":[50],"analyzing":[51],"signal":[52],"correlations":[53],"among":[54],"subcarriers,":[55],"we":[56,76],"achieve":[57,100],"equivalence":[58],"to":[59,86],"virtual":[60],"antennas,":[61],"enabling":[62],"generation":[64],"correlation":[68],"maps.":[69],"Using":[70],"cascaded":[72],"network":[73],"with":[74,93],"UNet,":[75],"extract":[77],"human":[78],"transformation":[80],"features":[81],"steering":[84],"vector":[85],"obtain":[87],"spectrum,":[90],"mapping":[91],"keypoints":[92],"high":[94],"precision.":[95],"Tests":[96],"through-wall":[98],"environments":[99],"an":[101],"average":[102],"mPCK":[103],"0.90":[105],"at":[106,111],"20":[107],"pixels":[108],"0.98":[110],"50":[112],"pixels,":[113],"significantly":[114],"improving":[115],"detection":[116],"accuracy.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}