{"id":"https://openalex.org/W4388039913","doi":"https://doi.org/10.1109/imeta59369.2023.10294545","title":"Metaverse Driven Edge-Fogging-Cloud Network for Complex Human Activity Recognition Using Sensors Fusion","display_name":"Metaverse Driven Edge-Fogging-Cloud Network for Complex Human Activity Recognition Using Sensors Fusion","publication_year":2023,"publication_date":"2023-09-18","ids":{"openalex":"https://openalex.org/W4388039913","doi":"https://doi.org/10.1109/imeta59369.2023.10294545"},"language":"en","primary_location":{"id":"doi:10.1109/imeta59369.2023.10294545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imeta59369.2023.10294545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA)","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/A5100667308","display_name":"Haoyu Fan","orcid":"https://orcid.org/0009-0001-8345-8396"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyu Fan","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China","School of Future Technology, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113066328","display_name":"Jirun Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jirun Gao","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China","School of Future Technology, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004145332","display_name":"Yancai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yancai Xu","raw_affiliation_strings":["Institute of Automation,Chinese Academy of Sciences,Beijing,China","Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation,Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023424929","display_name":"Giancarlo Fortino","orcid":"https://orcid.org/0000-0002-4039-891X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Fortino","raw_affiliation_strings":["University of Calabria,Department of Informatics, Modeling, Electronics, and Systems,Rende,Italy","Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria,Department of Informatics, Modeling, Electronics, and Systems,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035835836","display_name":"Wen Qi","orcid":"https://orcid.org/0000-0002-2091-3718"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Qi","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China","School of Future Technology, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100667308"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.4018,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62536634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9984999895095825,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9984999895095825,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9868999719619751,"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/T13553","display_name":"Age of Information Optimization","score":0.9663000106811523,"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/computer-science","display_name":"Computer science","score":0.8115237951278687},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6919472217559814},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6681022644042969},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5919487476348877},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5543453693389893},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5374041199684143},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4742017388343811},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4676942825317383},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46047085523605347},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.45022106170654297},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4315013885498047},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33527475595474243},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3348109722137451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22293531894683838},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1194903552532196},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10147389769554138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115237951278687},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6919472217559814},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6681022644042969},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5919487476348877},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5543453693389893},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5374041199684143},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4742017388343811},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4676942825317383},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46047085523605347},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.45022106170654297},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4315013885498047},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33527475595474243},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3348109722137451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22293531894683838},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1194903552532196},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10147389769554138},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imeta59369.2023.10294545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imeta59369.2023.10294545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2016999686","https://openalex.org/W2027934846","https://openalex.org/W2030541663","https://openalex.org/W2491783527","https://openalex.org/W2791335468","https://openalex.org/W2801805628","https://openalex.org/W2945655391","https://openalex.org/W3003651800","https://openalex.org/W3010153341","https://openalex.org/W3017181332","https://openalex.org/W3048223833","https://openalex.org/W3178085583","https://openalex.org/W3191396504","https://openalex.org/W3209241856","https://openalex.org/W3211522713","https://openalex.org/W3211812990","https://openalex.org/W4224945225","https://openalex.org/W4283820037","https://openalex.org/W4309157242","https://openalex.org/W4309953805","https://openalex.org/W4313555177","https://openalex.org/W4318053937","https://openalex.org/W4323339375","https://openalex.org/W4324118113","https://openalex.org/W4381786828","https://openalex.org/W4389296292","https://openalex.org/W6799833434","https://openalex.org/W6811082000","https://openalex.org/W6811108946","https://openalex.org/W6839659291","https://openalex.org/W6846835084","https://openalex.org/W6847041550","https://openalex.org/W6850558434"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Metaverse":[0],"and":[1,15,31,48,88,102,110],"digital":[2,106],"twins":[3,107],"are":[4],"promising":[5],"for":[6,40],"applications":[7],"in":[8],"people-centered":[9],"domains,":[10],"such":[11],"as":[12],"smart":[13],"cities":[14],"telemedicine.":[16],"Meanwhile,":[17],"combining":[18],"the":[19,66,76,85,98,103,114,117],"technologies":[20],"with":[21,93],"human":[22],"activity":[23],"recognition":[24],"(HAR)":[25],"can":[26],"substantially":[27],"improve":[28],"identification":[29],"accuracy":[30,127],"computational":[32,49,86,130],"efficiency.":[33,57],"Besides,":[34],"using":[35],"an":[36],"edge-fog-cloud":[37,67],"network":[38,68,100],"architecture":[39,101],"data":[41,79,89],"transmission":[42,90,112],"offers":[43],"advantages":[44],"regarding":[45],"storage":[46],"space":[47],"resources":[50],"on":[51],"edge":[52],"devices,":[53],"thereby":[54],"enhancing":[55],"analysis":[56],"We":[58],"present":[59],"a":[60],"novel":[61],"HAR":[62,95,125],"system":[63,77,118],"that":[64],"leverages":[65],"architecture,":[69],"which":[70],"achieves":[71],"three":[72],"key":[73],"functionalities.":[74],"First,":[75],"integrates":[78],"from":[80],"multimodal":[81],"sensors":[82],"to":[83,123],"address":[84],"challenges":[87],"latency":[91],"associated":[92],"complex":[94],"tasks.":[96],"Second,":[97],"Kafka":[99],"concept":[104],"of":[105],"ensure":[108],"secure":[109],"timely":[111],"within":[113],"system.":[115],"Third,":[116],"employs":[119],"hierarchical":[120],"algorithm":[121],"models":[122],"enhance":[124],"prediction":[126],"while":[128],"reducing":[129],"time":[131],"at":[132],"each":[133],"layer.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}