{"id":"https://openalex.org/W4381746752","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150403","title":"Channel State Information for Human Activity Recognition with Low Sampling Rates","display_name":"Channel State Information for Human Activity Recognition with Low Sampling Rates","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4381746752","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150403"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops56833.2023.10150403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/304880322/VariFi_manuscript.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012115722","display_name":"Jeroen Klein Brinke","orcid":"https://orcid.org/0000-0003-4803-2709"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jeroen Klein Brinke","raw_affiliation_strings":["Pervasive Systems, University of Twente,Enschede,the Netherlands","Pervasive Systems, University of Twente, Enschede, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Systems, University of Twente,Enschede,the Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Pervasive Systems, University of Twente, Enschede, the Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055007564","display_name":"Alessandro Chiumento","orcid":"https://orcid.org/0000-0003-1248-5327"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alessandro Chiumento","raw_affiliation_strings":["Pervasive Systems, University of Twente,Enschede,the Netherlands","Pervasive Systems, University of Twente, Enschede, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Systems, University of Twente,Enschede,the Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Pervasive Systems, University of Twente, Enschede, the Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067566830","display_name":"Paul Havinga","orcid":"https://orcid.org/0000-0002-3399-1790"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Paul Havinga","raw_affiliation_strings":["Pervasive Systems, University of Twente,Enschede,the Netherlands","Pervasive Systems, University of Twente, Enschede, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Systems, University of Twente,Enschede,the Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Pervasive Systems, University of Twente, Enschede, the Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.117,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39490956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"652"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980999827384949,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7968361377716064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827846765518188},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6433640718460083},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5371615886688232},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5351430177688599},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5295237898826599},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4496656656265259},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44007936120033264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43326452374458313},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4103044271469116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3618907332420349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33485281467437744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2130090892314911},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19918322563171387},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.18752875924110413},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15963253378868103},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11133435368537903}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7968361377716064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827846765518188},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6433640718460083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5371615886688232},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5351430177688599},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5295237898826599},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4496656656265259},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44007936120033264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43326452374458313},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4103044271469116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3618907332420349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33485281467437744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2130090892314911},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19918322563171387},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.18752875924110413},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15963253378868103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11133435368537903},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomworkshops56833.2023.10150403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops56833.2023.10150403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:publications/57b172f9-8439-4010-b146-f0d055c5a217","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/57b172f9-8439-4010-b146-f0d055c5a217","pdf_url":"https://ris.utwente.nl/ws/files/304880322/VariFi_manuscript.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Klein Brinke, J, Chiumento, A & Havinga, P J M 2023, Channel State Information for Human Activity Recognition with Low Sampling Rates. in UMUM 2023 : 2nd Workshop on Ubiquitous and Multi-domain User Modeling. pp. 614-620, 2nd Workshop on Ubiquitous and Multi-domain User Modeling, UMUM 2023, Atlanta, Georgia, United States, 13/03/23. https://doi.org/10.1109/PerComWorkshops56833.2023.10150403","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:publications/57b172f9-8439-4010-b146-f0d055c5a217","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/57b172f9-8439-4010-b146-f0d055c5a217","pdf_url":"https://ris.utwente.nl/ws/files/304880322/VariFi_manuscript.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Klein Brinke, J, Chiumento, A & Havinga, P J M 2023, Channel State Information for Human Activity Recognition with Low Sampling Rates. in UMUM 2023 : 2nd Workshop on Ubiquitous and Multi-domain User Modeling. pp. 614-620, 2nd Workshop on Ubiquitous and Multi-domain User Modeling, UMUM 2023, Atlanta, Georgia, United States, 13/03/23. https://doi.org/10.1109/PerComWorkshops56833.2023.10150403","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381746752.pdf","grobid_xml":"https://content.openalex.org/works/W4381746752.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2089695767","https://openalex.org/W2095396347","https://openalex.org/W2763219399","https://openalex.org/W2794843057","https://openalex.org/W2979981624","https://openalex.org/W3017660267","https://openalex.org/W3034778905","https://openalex.org/W3105020070","https://openalex.org/W3118382806","https://openalex.org/W3119252589","https://openalex.org/W3128533381","https://openalex.org/W3131371296","https://openalex.org/W3159790730","https://openalex.org/W3165714696","https://openalex.org/W3174019867","https://openalex.org/W3176846228","https://openalex.org/W3179595057","https://openalex.org/W3186182689","https://openalex.org/W3190903107","https://openalex.org/W3196221233","https://openalex.org/W3212435660","https://openalex.org/W3217357390","https://openalex.org/W4205469029","https://openalex.org/W4206045754","https://openalex.org/W4206098315","https://openalex.org/W4206648992","https://openalex.org/W4214813322","https://openalex.org/W4280654582","https://openalex.org/W4285328000","https://openalex.org/W4293242690","https://openalex.org/W6791038028","https://openalex.org/W6794884391"],"related_works":["https://openalex.org/W2281498195","https://openalex.org/W3195649134","https://openalex.org/W4293226380","https://openalex.org/W2610664080","https://openalex.org/W2017526120","https://openalex.org/W2188304107","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2892259437","https://openalex.org/W4321444604"],"abstract_inverted_index":{"In":[0],"this":[1,82],"paper,":[2],"it":[3],"is":[4,43],"shown":[5],"that":[6,29],"lower":[7],"transmission/sampling":[8],"rates":[9,33,53,78,90,102,151],"can":[10],"be":[11,116],"used":[12],"in":[13,103,136,159],"human":[14,61],"activity":[15,62],"recognition":[16],"using":[17],"channel":[18,57],"state":[19,58],"information":[20,59],"(F":[21],"<inf":[22],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[23],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[24],"-scores":[25],">":[26],"85%)":[27],"and":[28,70,74,91,97,111,146],"extremely":[30],"high":[31,76],"sampling":[32,52,77,89,101,150],"are":[34],"unnecessary":[35],"once":[36],"the":[37,47,93,119,128,142],"system":[38],"has":[39],"been":[40],"deployed.":[41],"This":[42,139],"done":[44],"by":[45],"analysing":[46],"effects":[48],"of":[49,95,118,144],"interpolating":[50],"different":[51],"on":[54,68,155],"Wi-Fi":[55],"dynamic":[56],"for":[60],"recognition.":[63],"While":[64],"current":[65],"research":[66],"focuses":[67],"training":[69,96,130,145],"testing":[71,98,147],"with":[72,87,99,148],"homogeneous":[73],"very":[75],"(>":[79],"100":[80],"Hz),":[81],"paper":[83,140],"outlines":[84],"some":[85],"issues":[86],"higher":[88],"explores":[92],"impact":[94],"heterogeneous":[100,149],"order":[104],"to":[105,133],"advance":[106],"more":[107],"towards":[108],"joint":[109],"communication":[110],"sensing,":[112],"where":[113],"one":[114],"cannot":[115],"certain":[117],"received":[120],"data":[121],"rate":[122],"over":[123],"time":[124],"while":[125],"not":[126],"knowing":[127],"exact":[129],"set":[131],"due":[132],"weight":[134],"sharing":[135],"Federated":[137],"Learning.":[138],"shows":[141],"effect":[143],"(including":[152],"interpolated":[153],"datasets)":[154],"convolutional":[156],"neural":[157],"networks":[158],"WiFi":[160],"sensing.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}