{"id":"https://openalex.org/W4312689029","doi":"https://doi.org/10.1109/access.2022.3222381","title":"A Novel WiFi-Based Personnel Behavior Sensing With a Deep Learning Method","display_name":"A Novel WiFi-Based Personnel Behavior Sensing With a Deep Learning Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312689029","doi":"https://doi.org/10.1109/access.2022.3222381"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3222381","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3222381","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09950478.pdf","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://ieeexplore.ieee.org/ielx7/6287639/9668973/09950478.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-8450-5660"},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8450-5660","affiliations":[{"raw_affiliation_string":"School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China","institution_ids":["https://openalex.org/I124841900"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-5264-4284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Hydrology Department (Information Center), The Yi-Shu-Si River Basin Administration, H.R.C., Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5264-4284","affiliations":[{"raw_affiliation_string":"Hydrology Department (Information Center), The Yi-Shu-Si River Basin Administration, H.R.C., Xuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615025","display_name":"Rong Bao","orcid":"https://orcid.org/0000-0003-4762-2862"},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Bao","raw_affiliation_strings":["School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China","institution_ids":["https://openalex.org/I124841900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191644","display_name":"Yonghong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Zhu","raw_affiliation_strings":["School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering (School of Big Data), Xuzhou University of Technology, Xuzhou, China","institution_ids":["https://openalex.org/I124841900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082350210","display_name":"Xinguo Shi","orcid":"https://orcid.org/0000-0002-4332-4668"},"institutions":[{"id":"https://openalex.org/I4210150072","display_name":"Central Hospital of Zibo","ror":"https://ror.org/04n3h0p93","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210150072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinguo Shi","raw_affiliation_strings":["Information Center, Shandong Energy Zibo Mining Group Company Ltd., Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Center, Shandong Energy Zibo Mining Group Company Ltd., Zibo, China","institution_ids":["https://openalex.org/I4210150072"]}]}],"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":0.6184,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66025093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"120136","last_page":"120145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.996399998664856,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9941999912261963,"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":0.7295700311660767},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4394799768924713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36765843629837036},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35296720266342163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295700311660767},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4394799768924713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36765843629837036},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35296720266342163}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3222381","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3222381","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09950478.pdf","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:f5b829c523b246cdb00b559491320b95","is_oa":true,"landing_page_url":"https://doaj.org/article/f5b829c523b246cdb00b559491320b95","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 10, Pp 120136-120145 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3222381","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3222381","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09950478.pdf","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":[{"id":"https://openalex.org/G3661506857","display_name":null,"funder_award_id":"KC19208","funder_id":"https://openalex.org/F4320336657","funder_display_name":"Xuzhou Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320336657","display_name":"Xuzhou Science and Technology Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312689029.pdf","grobid_xml":"https://content.openalex.org/works/W4312689029.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W1997229236","https://openalex.org/W2054642006","https://openalex.org/W2095396347","https://openalex.org/W2108587916","https://openalex.org/W2122687876","https://openalex.org/W2143228105","https://openalex.org/W2156024863","https://openalex.org/W2156303437","https://openalex.org/W2172292165","https://openalex.org/W2735039232","https://openalex.org/W2736191430","https://openalex.org/W2820000974","https://openalex.org/W2886490782","https://openalex.org/W2899145720","https://openalex.org/W2900264681","https://openalex.org/W2900471873","https://openalex.org/W2957069915","https://openalex.org/W2958492098","https://openalex.org/W2970344707","https://openalex.org/W2972450157","https://openalex.org/W3006408325","https://openalex.org/W3097728828","https://openalex.org/W3109719334","https://openalex.org/W3111494707","https://openalex.org/W3118915315","https://openalex.org/W3150529520","https://openalex.org/W3155082904","https://openalex.org/W3183423557","https://openalex.org/W3193406951","https://openalex.org/W3196221233","https://openalex.org/W3201976452","https://openalex.org/W4283718353","https://openalex.org/W6682864246","https://openalex.org/W6797922683"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"People\u2019s":[0],"activity":[1],"recognition":[2,155],"technology":[3],"has":[4],"a":[5],"large":[6],"number":[7],"of":[8,41,55,71,92,106,141,157],"applications":[9],"in":[10,65,114,135,160],"indoor":[11],"monitoring,":[12],"smart":[13,16],"healthcare,":[14],"and":[15,29,46,95,117,144,166],"homes.":[17],"Traditional":[18],"methods":[19],"require":[20],"hardware-mounted":[21],"or":[22],"wearable":[23],"sensors,":[24],"which":[25,49,115],"bring":[26],"additional":[27],"costs":[28],"impose":[30],"many":[31],"limitations":[32,54],"on":[33],"usage,":[34],"while":[35],"WiFi":[36],"devices":[37],"have":[38],"the":[39,53,69,78,86,90,93,99,104,108,111,123,154,161],"advantages":[40],"low":[42],"cost,":[43],"wide":[44],"coverage,":[45],"wall":[47],"penetration,":[48],"can":[50],"compensate":[51],"for":[52],"traditional":[56],"means.":[57],"A":[58],"WiFi-based":[59],"behavior":[60],"sensing":[61],"system":[62,109,132,159],"is":[63,82,133,164],"proposed":[64],"this":[66,158],"study.":[67],"As":[68],"characteristics":[70],"personnel":[72],"activities":[73],"would":[74],"cause":[75],"path":[76,79,87],"changes,":[77],"decomposition":[80],"algorithm":[81],"designed":[83],"to":[84,96,102,122,127],"use":[85],"information":[88,101],"as":[89],"feature":[91,100],"action":[94,129],"fully":[97],"exploit":[98],"improve":[103],"accuracy":[105,156],"recognition,":[107],"proposes":[110],"BI-AT-GRU":[112],"network":[113],"bi-directional":[116],"attention":[118],"mechanism":[119],"are":[120],"added":[121],"gated":[124],"loop":[125],"unit":[126],"achieve":[128],"recognition.":[130],"The":[131,149],"evaluated":[134],"different":[136,139],"environments":[137],"with":[138,146],"levels":[140],"multipath":[142],"reflections":[143],"compared":[145],"other":[147],"systems.":[148],"experimental":[150],"results":[151],"show":[152],"that":[153],"two":[162],"scenes":[163],"97.4%":[165],"93.3%,":[167],"respectively.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}