{"id":"https://openalex.org/W3044435353","doi":"https://doi.org/10.1109/iccworkshops49005.2020.9145101","title":"WiFi-Based Activity Recognition using Activity Filter and Enhanced Correlation with Deep Learning","display_name":"WiFi-Based Activity Recognition using Activity Filter and Enhanced Correlation with Deep Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3044435353","doi":"https://doi.org/10.1109/iccworkshops49005.2020.9145101","mag":"3044435353"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops49005.2020.9145101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops49005.2020.9145101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/146212/2/Binder2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057129764","display_name":"Zhenguo Shi","orcid":"https://orcid.org/0000-0002-7207-547X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhenguo Shi","raw_affiliation_strings":["Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706723","display_name":"J. Andrew Zhang","orcid":"https://orcid.org/0000-0002-6102-3762"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Andrew Zhang","raw_affiliation_strings":["Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073709711","display_name":"Richard Yi Da Xu","orcid":"https://orcid.org/0000-0003-2080-4762"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richard Yida Xu","raw_affiliation_strings":["Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044120332","display_name":"Qingqing Cheng","orcid":"https://orcid.org/0000-0003-2664-5176"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qingqing Cheng","raw_affiliation_strings":["Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Center, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057129764"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.6238,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67987761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/activity-recognition","display_name":"Activity recognition","score":0.7848455905914307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637147843837738},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6330419182777405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186059474945068},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49169498682022095},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47876206040382385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37214037775993347},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3219833970069885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22055897116661072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1368730366230011}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7848455905914307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637147843837738},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6330419182777405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186059474945068},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49169498682022095},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47876206040382385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37214037775993347},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3219833970069885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22055897116661072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1368730366230011},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccworkshops49005.2020.9145101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops49005.2020.9145101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/146212","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/146212","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/146212/2/Binder2.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/146212","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/146212","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/146212/2/Binder2.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044435353.pdf","grobid_xml":"https://content.openalex.org/works/W3044435353.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1894623711","https://openalex.org/W2089695767","https://openalex.org/W2336963656","https://openalex.org/W2340862004","https://openalex.org/W2527524423","https://openalex.org/W2706629214","https://openalex.org/W2763219399","https://openalex.org/W2792651740","https://openalex.org/W2809191403","https://openalex.org/W2887389727","https://openalex.org/W2890776497","https://openalex.org/W2899430105","https://openalex.org/W2918555348","https://openalex.org/W4253481229","https://openalex.org/W6754616907"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W4375867731","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2611989081","https://openalex.org/W2761510556","https://openalex.org/W2892259437","https://openalex.org/W2944566775"],"abstract_inverted_index":{"Device-free":[0],"WiFi":[1,98],"sensing":[2],"utilizing":[3],"channel":[4],"state":[5],"information":[6],"(CSI)":[7],"is":[8],"attractive":[9],"for":[10,64,92,157],"human":[11],"activity":[12,69,118],"recognition":[13,154],"(HAR).":[14],"However,":[15],"several":[16],"challenging":[17],"problems":[18,58],"are":[19],"yet":[20],"to":[21,34,55,90,111,121],"be":[22],"resolved,":[23],"e.g.,":[24],"difficulty":[25,41],"in":[26,42],"extracting":[27],"proper":[28],"features":[29,135],"from":[30,137],"input":[31],"signals,":[32],"susceptibility":[33],"the":[35,93,97,107,131],"phase":[36],"shift":[37],"of":[38,109],"CSI":[39,84,133],"and":[40,48,86,100,105,127,160],"identifying":[43],"similar":[44,123,158],"behaviors":[45],"(e.g.,":[46,125],"lying":[47],"standing).":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,114],"aim":[54],"tackle":[56],"these":[57],"by":[59],"proposing":[60],"a":[61,82,116],"novel":[62,83,117],"scheme":[63,147],"CSI-based":[65],"HAR":[66],"that":[67,143],"uses":[68],"filter-based":[70],"deep":[71],"learning":[72],"network":[73],"(HAR-AF-DLN)":[74],"with":[75,151],"enhanced":[76,132],"correlation":[77,134],"features.":[78],"We":[79],"first":[80],"develop":[81],"compensation":[85],"enhancement":[87],"(CCE)":[88],"method":[89],"compensate":[91],"timing":[94],"offset":[95],"between":[96],"transmitter":[99],"receiver,":[101],"enhance":[102],"activity-related":[103],"signals":[104],"reduce":[106],"dimension":[108],"inputs":[110],"DLN.":[112],"Then,":[113],"design":[115],"filter":[119],"(AF)":[120],"differentiate":[122],"activities":[124],"standing":[126],"lying)":[128],"based":[129],"on":[130],"obtained":[136],"CCE.":[138],"Extensive":[139],"simulation":[140],"results":[141],"demonstrate":[142],"our":[144],"proposed":[145],"HAR-AF-DLN":[146],"outperforms":[148],"state-of-the-art":[149],"methods":[150],"significantly":[152],"improved":[153],"accuracy":[155],"(especially":[156],"activities)":[159],"notably":[161],"reduced":[162],"training":[163],"time.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}