{"id":"https://openalex.org/W4396712711","doi":"https://doi.org/10.1109/jiot.2024.3397708","title":"WiFi-Based Indoor Human Activity Sensing: A Selective Sensing Strategy and a Multilevel Feature Fusion Approach","display_name":"WiFi-Based Indoor Human Activity Sensing: A Selective Sensing Strategy and a Multilevel Feature Fusion Approach","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396712711","doi":"https://doi.org/10.1109/jiot.2024.3397708"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3397708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3397708","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/A5006359556","display_name":"Y. Zhang","orcid":"https://orcid.org/0009-0005-5567-017X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyun Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","School of Computer Science and Technology, Beijing Key Laboratory of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-5567-017X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Key Laboratory of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019932727","display_name":"Gongpu Wang","orcid":"https://orcid.org/0000-0001-5346-3162"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongpu Wang","raw_affiliation_strings":["Beijing Key Laboratory of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","School of Computer Science and Technology, Beijing Key Laboratory of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","China (Wuxi) Institute of nternet of Things, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5346-3162","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Key Laboratory of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"China (Wuxi) Institute of nternet of Things, Wuxi, China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029019328","display_name":"Heng Liu","orcid":"https://orcid.org/0000-0002-1096-4204"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Liu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1096-4204","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683485","display_name":"Wei Gong","orcid":"https://orcid.org/0000-0002-2986-3956"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gong","raw_affiliation_strings":["School of Computer Science and Technology and the School of Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2986-3956","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology and the School of Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050402661","display_name":"Feifei Gao","orcid":"https://orcid.org/0000-0001-8896-352X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Gao","raw_affiliation_strings":["Institute for Artificial Intelligence, State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology, and Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence Tsinghua University (THUAI), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8896-352X","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology, and Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence Tsinghua University (THUAI), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006359556"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.4035,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88923613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"18","first_page":"29335","last_page":"29347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9872999787330627,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.836176335811615},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7088463306427002},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6748430728912354},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5667858123779297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587438941001892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5107908248901367},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5075015425682068},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.487382709980011},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4466533362865448},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43351277709007263},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06464347243309021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836176335811615},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7088463306427002},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6748430728912354},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5667858123779297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587438941001892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5107908248901367},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5075015425682068},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.487382709980011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4466533362865448},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43351277709007263},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06464347243309021},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3397708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3397708","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":[{"score":0.550000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1981067609","display_name":null,"funder_award_id":"U22B2004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G309674882","display_name":null,"funder_award_id":"2021YFB3901300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5331489779","display_name":null,"funder_award_id":"62221001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6643904821","display_name":null,"funder_award_id":"U23A20272","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1977177161","https://openalex.org/W1991045167","https://openalex.org/W2064675550","https://openalex.org/W2089695767","https://openalex.org/W2112796928","https://openalex.org/W2115612038","https://openalex.org/W2139334658","https://openalex.org/W2194775991","https://openalex.org/W2309512289","https://openalex.org/W2552265749","https://openalex.org/W2554581053","https://openalex.org/W2560023338","https://openalex.org/W2594230123","https://openalex.org/W2748628104","https://openalex.org/W2762232490","https://openalex.org/W2763219399","https://openalex.org/W2794843057","https://openalex.org/W2890096158","https://openalex.org/W2890776497","https://openalex.org/W2938514801","https://openalex.org/W2949699261","https://openalex.org/W2962732150","https://openalex.org/W2971438638","https://openalex.org/W2974499829","https://openalex.org/W2999646654","https://openalex.org/W3015014633","https://openalex.org/W3106589709","https://openalex.org/W3120094264","https://openalex.org/W3121523871","https://openalex.org/W3128189281","https://openalex.org/W3144404977","https://openalex.org/W3159182882","https://openalex.org/W3176590546","https://openalex.org/W3196221233","https://openalex.org/W4205469029","https://openalex.org/W4281737392","https://openalex.org/W4289527783","https://openalex.org/W4312326088","https://openalex.org/W4319993378","https://openalex.org/W4322627157","https://openalex.org/W4377000490","https://openalex.org/W4381734352","https://openalex.org/W6637373629","https://openalex.org/W6698302138","https://openalex.org/W6803792808"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4405331580","https://openalex.org/W4311804456","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2971659033","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Utilizing":[0],"communication":[1,17],"signals":[2],"for":[3,60,86],"indoor":[4],"human":[5,73],"activity":[6,94,117,160],"recognition":[7,95,118],"(HAS)":[8],"is":[9],"an":[10],"important":[11],"component":[12],"of":[13],"integrated":[14],"sensing":[15,27,52,96,123],"and":[16,29,54,81,93,98,119,125,152,162],"(ISAC).":[18],"The":[19,138],"current":[20],"majority":[21],"HAS":[22,43],"solutions":[23],"adopt":[24,89,114],"a":[25,33,41,90,100,115,127],"single":[26],"strategy":[28],"only":[30],"work":[31],"in":[32,149,158],"simple":[34],"environment.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,88,113],"propose":[40],"new":[42],"method":[44,70],"named":[45],"WiSMLF":[46,143],"that":[47,142],"can":[48,153],"flexibly":[49],"select":[50],"multiple":[51],"strategies":[53],"then":[55],"use":[56,64,99,126],"multi-level":[57,101,128],"feature":[58,102,129],"fusion":[59,103,130],"sensing.":[61],"We":[62],"first":[63],"the":[65,145],"high":[66],"frequency":[67],"energy":[68],"(HFE)":[69],"to":[71],"categorize":[72],"activities":[74,79,83],"into":[75],"two":[76],"types:":[77],"static":[78],"(SAs)":[80],"moving":[82,120],"(MAs).":[84],"Subsequently,":[85],"SAs,":[87],"joint":[91,116],"localization":[92],"strategy,":[97,124],"network":[104,131],"based":[105,132],"on":[106,133],"visual":[107],"geometry":[108],"group":[109],"(VGG).":[110],"For":[111],"MAs,":[112],"distance":[121,163],"estimation":[122],"long":[134],"short-term":[135],"memory":[136],"(LSTM).":[137],"experimental":[139],"results":[140],"show":[141],"outperforms":[144],"existing":[146],"methods":[147],"especially":[148],"complex":[150],"environments,":[151],"obtain":[154],"92%":[155],"higher":[156],"accuracy":[157],"location,":[159],"recognition,":[161],"estimation.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
