{"id":"https://openalex.org/W4381786640","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152190","title":"CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network","display_name":"CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4381786640","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152190"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot54382.2022.10152190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot54382.2022.10152190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","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/A5100681085","display_name":"Jingtao Guo","orcid":"https://orcid.org/0000-0001-6308-4537"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jingtao Guo","raw_affiliation_strings":["The Hong Kong Polytechnic University,Dept. of Electronic and Information Engineering,Hong Kong,China","Dept. of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Dept. of Electronic and Information Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018293126","display_name":"Ivan Wang\u2010Hei Ho","orcid":"https://orcid.org/0000-0003-0043-2025"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ivan Wang-Hei Ho","raw_affiliation_strings":["Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University,Dept. of Electronic and Information Engineering,Hong Kong,China","Dept. of Electronic and Information Engineering, Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University,Dept. of Electronic and Information Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electronic and Information Engineering, Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100681085"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.8291,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75079071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9962999820709229,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9945999979972839,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9865000247955322,"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":0.7725811004638672},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5663485527038574},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4965589642524719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48702937364578247},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.48460066318511963},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.47641217708587646},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4761804938316345},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4587439000606537},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45689818263053894},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4563671946525574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45300188660621643},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4426308572292328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38024234771728516},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3098994493484497},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14633890986442566},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.13608890771865845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12459349632263184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725811004638672},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5663485527038574},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4965589642524719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48702937364578247},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.48460066318511963},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.47641217708587646},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4761804938316345},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4587439000606537},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45689818263053894},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4563671946525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45300188660621643},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4426308572292328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38024234771728516},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3098994493484497},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14633890986442566},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.13608890771865845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12459349632263184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot54382.2022.10152190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot54382.2022.10152190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.800000011920929,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Nowadays,":[0],"Coronavirus":[1],"disease":[2],"(COVID-19)":[3],"has":[4],"become":[5],"a":[6,68,94,101],"global":[7],"pandemic":[8],"because":[9],"of":[10,118,157,198],"its":[11],"fast":[12],"spread":[13],"in":[14,37,60,93],"vari-ous":[15],"countries.":[16],"To":[17],"build":[18],"an":[19,108,154],"anti-epidemic":[20],"barrier,":[21],"self-isolation":[22],"is":[23,132,140],"required":[24],"for":[25,113,134,142,159,179],"people":[26],"who":[27],"have":[28,35],"been":[29,36],"to":[30],"any":[31],"at-risk":[32],"places":[33],"or":[34,46,56],"close":[38],"contact":[39],"with":[40,107,189],"infected":[41],"people.":[42],"However,":[43],"existing":[44],"camera":[45],"wearable":[47],"device-based":[48],"monitoring":[49,72],"systems":[50],"may":[51],"present":[52,99],"privacy":[53],"leakage":[54],"risks":[55],"cause":[57],"user":[58],"inconvenience":[59],"some":[61],"cases.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,75],"propose":[67],"Wi-Fi-based":[69],"device-free":[70],"self-quarantine":[71,96],"system.":[73],"Specifically,":[74],"exploit":[76],"channel":[77],"state":[78],"information":[79],"(CSI)":[80],"derived":[81],"from":[82],"Wi-Fi":[83],"signals":[84],"as":[85],"human":[86,124,163],"activity":[87,125],"features.":[88],"We":[89],"collect":[90],"CSI":[91],"data":[92],"simulated":[95],"scenario":[97],"and":[98,123,136],"BranchyGhostNet,":[100],"lightweight":[102],"convolution":[103],"neural":[104],"network":[105],"(CNN)":[106],"early":[109,129,172],"exit":[110,173],"prediction":[111,174],"branch,":[112],"the":[114,137,149,171,176,190,196],"efficient":[115],"joint":[116],"task":[117],"room":[119],"occupancy":[120],"detection":[121],"(ROD)":[122],"recognition":[126],"(HAR).":[127],"The":[128],"exiting":[130,192],"branch":[131,193],"used":[133,141],"ROD,":[135],"final":[138,191],"one":[139],"HAR.":[143],"Our":[144],"experimental":[145],"results":[146],"indicate":[147],"that":[148,168],"proposed":[150],"model":[151],"can":[152,181],"achieve":[153],"average":[155],"accuracy":[156,197],"98.19%":[158],"classifying":[160],"five":[161],"different":[162],"activities.":[164],"They":[165],"also":[166],"confirm":[167],"after":[169],"leveraging":[170],"mechanism,":[175],"inference":[177],"latency":[178],"ROD":[180],"be":[182],"significantly":[183],"reduced":[184],"by":[185],"54.04%":[186],"when":[187],"compared":[188],"while":[194],"guaranteeing":[195],"ROD.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
