{"id":"https://openalex.org/W4327778748","doi":"https://doi.org/10.1109/ccnc51644.2023.10059647","title":"A Real-time Object Detection for WiFi CSI-based Multiple Human Activity Recognition","display_name":"A Real-time Object Detection for WiFi CSI-based Multiple Human Activity Recognition","publication_year":2023,"publication_date":"2023-01-08","ids":{"openalex":"https://openalex.org/W4327778748","doi":"https://doi.org/10.1109/ccnc51644.2023.10059647"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51644.2023.10059647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51644.2023.10059647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications &amp; Networking Conference (CCNC)","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/A5036710007","display_name":"Israel Elujide","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Israel Elujide","raw_affiliation_strings":["The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056009434","display_name":"Aref Shiran","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aref Shiran","raw_affiliation_strings":["The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039694624","display_name":"Siwang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwang Zhou","raw_affiliation_strings":["College of Information Science and Technology, Hunan University,China","College of Information Science and Technology, Hunan University, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hunan University,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Information Science and Technology, Hunan University, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001033170","display_name":"Yonghe Liu","orcid":"https://orcid.org/0000-0003-2909-6088"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonghe Liu","raw_affiliation_strings":["The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas,Department of Computer Science &#x0026; Engineering,Arlington,USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036710007"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":1.041,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75543797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"554"},"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9972000122070312,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9894999861717224,"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/activity-recognition","display_name":"Activity recognition","score":0.8378745317459106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8295098543167114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699226498603821},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6283996105194092},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5627404451370239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49003303050994873},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44906511902809143},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4391304552555084},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4323463439941406},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4232533872127533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4217834770679474},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41849568486213684},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4181550145149231},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.20315182209014893},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.20148298144340515}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8378745317459106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295098543167114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699226498603821},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6283996105194092},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5627404451370239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49003303050994873},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44906511902809143},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4391304552555084},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4323463439941406},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4232533872127533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4217834770679474},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41849568486213684},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4181550145149231},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.20315182209014893},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.20148298144340515},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51644.2023.10059647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51644.2023.10059647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2067530554","https://openalex.org/W2089695767","https://openalex.org/W2098866314","https://openalex.org/W2135090840","https://openalex.org/W2340862004","https://openalex.org/W2574994248","https://openalex.org/W2594230123","https://openalex.org/W2602548784","https://openalex.org/W2811159176","https://openalex.org/W2887884062","https://openalex.org/W2939364138","https://openalex.org/W2944172587","https://openalex.org/W2962730651","https://openalex.org/W2963150697","https://openalex.org/W2967202213","https://openalex.org/W2982702577","https://openalex.org/W3092480427","https://openalex.org/W3104559109","https://openalex.org/W3105241699","https://openalex.org/W3121320991","https://openalex.org/W4211198859","https://openalex.org/W4251576337","https://openalex.org/W6674872755"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W3195649134","https://openalex.org/W1605879311","https://openalex.org/W2281498195","https://openalex.org/W2611980620","https://openalex.org/W2385763735","https://openalex.org/W2506504620","https://openalex.org/W2983384859","https://openalex.org/W2899145720","https://openalex.org/W2790624640"],"abstract_inverted_index":{"In":[0],"the":[1,38,45,56,90,121,136,156,160],"recent":[2],"past,":[3],"human":[4,75,110,177,192],"activity":[5,28,49,76,94,111,137],"recognition":[6,29,50,77,95,112],"research":[7],"has":[8],"focused":[9],"on":[10,125,204],"using":[11,60,113,139,184],"WiFi":[12,114],"channel":[13],"state":[14],"information":[15],"(CSI)":[16],"as":[17,33],"a":[18,99,126,152],"viable":[19],"alternative":[20],"to":[21,80,83,148,165,173],"legacy":[22],"systems":[23],"like":[24],"video":[25],"and":[26,37,105,129,190,206],"sensor-based":[27],"having":[30],"limitations":[31],"such":[32],"privacy":[34],"invasion,":[35],"obtrusiveness,":[36],"inconvenience":[39],"of":[40,47,55,92,135,210],"wearing":[41],"sensory":[42],"devices.":[43],"While":[44],"performance":[46],"CSI-based":[48,93],"models":[51,57,79],"is":[52,123,146,163,181,202],"impressive,":[53],"many":[54],"are":[58],"built":[59],"offline":[61],"processed":[62],"data":[63,119,187],"from":[64,120,159],"regulated":[65],"settings":[66],"which":[67],"hinders":[68],"their":[69],"application":[70],"in":[71,86,154],"real-time.":[72,87],"However,":[73],"real-life":[74],"requires":[78],"be":[81],"responsive":[82],"identifying":[84],"activities":[85,150],"To":[88],"address":[89],"shortcoming":[91],"models,":[96],"we":[97],"propose":[98],"deep":[100,169],"learning":[101,170],"object":[102],"detection":[103],"framework":[104],"instance":[106,171,207],"segmentation":[107,172,208],"for":[108,168],"multiple":[109,191],"signals.":[115],"The":[116,179,194],"real-time":[117,185,198],"CSI":[118,186],"signal":[122],"captured":[124],"sliding":[127],"window":[128],"converted":[130],"into":[131],"time-frequency":[132],"domain":[133],"images":[134,162],"stream":[138,153],"continuous":[140],"wavelet":[141],"transform":[142],"(CWT).":[143],"Since":[144],"it":[145],"impossible":[147],"pre-segment":[149],"within":[151],"real-time,":[155],"power":[157],"profile":[158],"transformed":[161],"exploited":[164],"provide":[166],"insights":[167],"identify":[174],"each":[175],"unique":[176],"activity.":[178],"evaluation":[180],"carried":[182],"out":[183],"with":[188],"single":[189],"activities.":[193],"results":[195],"show":[196],"that":[197],"model":[199],"classification":[200],"accuracy":[201,209],"93.80%":[203],"average":[205],"90.73%.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
