{"id":"https://openalex.org/W4404739799","doi":"https://doi.org/10.1109/icbase63199.2024.10762264","title":"Wi-SensiNet: Through-Wall Human Activity Recognition Based on WiFi Sensing","display_name":"Wi-SensiNet: Through-Wall Human Activity Recognition Based on WiFi Sensing","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4404739799","doi":"https://doi.org/10.1109/icbase63199.2024.10762264"},"language":"en","primary_location":{"id":"doi:10.1109/icbase63199.2024.10762264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data &amp;amp; Artificial Intelligence &amp;amp; Software Engineering (ICBASE)","raw_type":"proceedings-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/A5086089894","display_name":"Xie Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyi Fu","raw_affiliation_strings":["College of Artificial Intelligence Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007847286","display_name":"Chenlu Wang","orcid":"https://orcid.org/0000-0001-8098-254X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlu Wang","raw_affiliation_strings":["College of Artificial Intelligence Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101593027","display_name":"Shenglin Li","orcid":"https://orcid.org/0000-0003-3740-6250"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Li","raw_affiliation_strings":["College of Artificial Intelligence Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086089894"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.222,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55512798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9901000261306763,"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":0.9901000261306763,"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":0.988099992275238,"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"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9574999809265137,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6246191263198853},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6058575510978699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29117175936698914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246191263198853},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6058575510978699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29117175936698914}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase63199.2024.10762264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data &amp;amp; Artificial Intelligence &amp;amp; Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2792767739","https://openalex.org/W2899430105","https://openalex.org/W3024763213","https://openalex.org/W3047296477","https://openalex.org/W3083719185","https://openalex.org/W3157875290","https://openalex.org/W3162668759","https://openalex.org/W4226306364","https://openalex.org/W4306362175","https://openalex.org/W4319781559","https://openalex.org/W4322739301"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3195649134","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"With":[0],"the":[1,120,131,152,170,215,222],"advancement":[2],"of":[3,82,125,136,154,172],"Wi-Fi":[4,53],"sensing":[5],"technology,":[6],"its":[7],"significant":[8],"benefits":[9],"in":[10,21,80,158,228,232],"operational":[11],"convenience":[12],"and":[13,29,175,202,204,225],"privacy":[14],"protection":[15],"have":[16],"become":[17],"increasingly":[18],"evident,":[19],"particularly":[20],"fields":[22],"such":[23,65],"as":[24,66],"smart":[25],"homes,":[26],"medical":[27],"monitoring,":[28],"security":[30],"surveillance,":[31],"where":[32],"Human":[33,48],"Activity":[34,49],"Recognition":[35,50],"(HAR)":[36,51],"technology":[37],"shows":[38],"great":[39],"promise.":[40],"This":[41,143],"study":[42],"investigates":[43],"a":[44,59,187],"novel":[45],"approach":[46],"to":[47,90,104,150],"using":[52],"Channel":[54],"State":[55],"Information":[56],"(CSI),":[57],"with":[58,130],"particular":[60],"focus":[61],"on":[62,78,214],"complex":[63,159,233],"conditions":[64],"Non-Line-of-Sight":[67],"(NLoS)":[68],"scenarios,":[69,167],"including":[70,195],"Through-Wall":[71],"transmissions.":[72],"Traditionally,":[73],"most":[74],"research":[75],"has":[76],"focused":[77],"HAR":[79,230],"Line":[81],"Sight":[83],"(LoS)":[84],"paths,":[85],"which":[86],"are":[87],"highly":[88],"sensitive":[89],"environmental":[91],"changes,":[92],"while":[93],"NLoS":[94],"signals,":[95,98],"especially":[96],"through-wall":[97,166,178,188],"suffer":[99],"from":[100],"signal":[101],"attenuation":[102],"due":[103],"walls.":[105],"To":[106],"address":[107],"this":[108],"issue,":[109],"we":[110,185],"propose":[111],"Wi-SensiNet,":[112],"an":[113,147,209],"innovative":[114],"deep":[115],"learning-based":[116],"method":[117,144],"that":[118,206],"combines":[119],"spatial":[121],"feature":[122],"extraction":[123],"capabilities":[124],"Convolutional":[126],"Neural":[127],"Networks":[128],"(CNN)":[129],"temporal":[132],"sequence":[133],"processing":[134],"power":[135],"Bidirectional":[137],"Long":[138],"Short-Term":[139],"Memory":[140],"(BiLSTM)":[141],"networks.":[142],"also":[145],"incorporates":[146],"attention":[148],"mechanism":[149],"enhance":[151],"accuracy":[153,211,227],"human":[155,179],"activity":[156,180],"recognition":[157],"environments.":[160,234],"Wi-SensiNet":[161,207],"is":[162],"specifically":[163],"designed":[164],"for":[165],"effectively":[168],"managing":[169],"complexity":[171],"CSI":[173,189],"data":[174],"achieving":[176],"accurate":[177],"detection.":[181],"In":[182],"our":[183],"experiments,":[184],"collected":[186],"dataset":[190],"comprising":[191],"seven":[192],"common":[193],"activities,":[194],"running,":[196],"sitting,":[197],"standing,":[198],"squatting,":[199],"falling,":[200],"punching,":[201],"walking,":[203],"verified":[205],"achieved":[208],"average":[210],"exceeding":[212],"99%":[213],"original":[216],"test":[217],"set.":[218],"These":[219],"results":[220],"demonstrate":[221],"model\u2019s":[223],"robustness":[224],"high":[226],"handling":[229],"tasks":[231]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
