{"id":"https://openalex.org/W6929974942","doi":"https://doi.org/10.5281/zenodo.10702154","title":"CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification","display_name":"CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification","publication_year":2024,"publication_date":"2024-02-25","ids":{"openalex":"https://openalex.org/W6929974942","doi":"https://doi.org/10.5281/zenodo.10702154"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.10702154","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10702154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.10702154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bhat, Nabeel Nisar","orcid":"https://orcid.org/0000-0003-2375-8618"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Bhat, Nabeel Nisar","raw_affiliation_strings":["University of Antwerp","IMEC"],"affiliations":[{"raw_affiliation_string":"University of Antwerp","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"IMEC","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Berkvens, Rafael","orcid":"https://orcid.org/0000-0003-0064-5020"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Berkvens, Rafael","raw_affiliation_strings":["University of Antwerp","IMEC"],"affiliations":[{"raw_affiliation_string":"University of Antwerp","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"IMEC","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Famaey, Jeroen","orcid":"https://orcid.org/0000-0002-3587-1354"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Famaey, Jeroen","raw_affiliation_strings":["University of Antwerp","IMEC"],"affiliations":[{"raw_affiliation_string":"University of Antwerp","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"IMEC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149213910"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10031","display_name":"T-cell and B-cell Immunology","score":0.7462000250816345,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10031","display_name":"T-cell and B-cell Immunology","score":0.7462000250816345,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10580","display_name":"Immunotherapy and Immune Responses","score":0.029200000688433647,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12955","display_name":"Atherosclerosis and Cardiovascular Diseases","score":0.02239999920129776,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5806999802589417},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5123999714851379},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5069000124931335},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4717000126838684},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.435699999332428},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.43140000104904175},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.38580000400543213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573000192642212},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5806999802589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501000285148621},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5069000124931335},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4717000126838684},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.43140000104904175},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.38580000400543213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33649998903274536},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3050999939441681},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.10702154","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10702154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.10702154","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10702154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5030835866928101}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"refers":[1],"to":[2,118,130,161],"the":[3,7,52,88,100,111,177,183,193,205,209,214,217],"gan-generated":[4],"dataset":[5],"for":[6,39,75],"paper\"":[8],"CSI4Free:":[9],"GAN-Augmented":[10],"mmWave":[11,67,142],"CSI":[12,165],"forImproved":[13],"Pose":[14],"Classification.":[15],"Abstract:In":[16],"recent":[17],"years,":[18],"Joint":[19],"Communication":[20],"and":[21,46,51,110,187,212],"Sensing":[22],"(JC&S),":[23],"has":[24,58,72],"demonstrated":[25],"significant":[26],"success,":[27],"particularly":[28],"in":[29,61,87,107,196],"utilizing":[30],"sub-6":[31],"GHz":[32],"frequencies":[33,68],"with":[34,176],"commercial-off-the-shelf":[35],"(COTS)":[36],"Wi-Fi":[37,92],"devices":[38],"applications":[40],"such":[41,63,95],"as":[42,96,180],"localization,":[43],"gesture":[44],"recognition,":[45],"pose":[47,199],"classification.":[48],"Deep":[49],"learning":[50],"existence":[53],"of":[54,85,90,102,113,122,174,216],"large":[55,103],"public":[56],"datasets":[57],"been":[59],"pivotal":[60],"achieving":[62],"results.":[64],"However,":[65],"at":[66],"(30-300":[69],"GHz),":[70],"which":[71],"shown":[73],"potential":[74],"more":[76],"accurate":[77],"sensing":[78],"performance,":[79],"there":[80],"is":[81,222],"a":[82,119,136,152,171,198],"noticeable":[83],"lack":[84],"research":[86,98],"domain":[89],"COTS":[91,108],"sensing.":[93],"Challenges":[94],"limited":[97,105],"hardware,":[99,109],"absence":[101],"datasets,":[104],"functionality":[106],"complexities":[112],"data":[114,211],"collection":[115],"present":[116],"obstacles":[117],"comprehensive":[120],"exploration":[121],"this":[123,126],"field.":[124],"In":[125,148],"work,":[127],"we":[128,150,191],"aim":[129],"address":[131],"these":[132],"challenges":[133],"by":[134,182],"developing":[135],"method":[137],"that":[138,204],"can":[139],"generate":[140,162],"synthetic":[141],"channel":[143],"state":[144],"information":[145],"(CSI)":[146],"samples.":[147,166],"particular,":[149],"use":[151],"generative":[153],"adversarial":[154],"network":[155],"(GAN)":[156],"on":[157],"an":[158],"existing":[159],"dataset,":[160],"30,000":[163],"additional":[164],"The":[167,220],"augmented":[168,194,206],"samples":[169,195,207],"exhibit":[170],"remarkable":[172],"degree":[173],"consistency":[175],"original":[178],"data,":[179],"indicated":[181],"notably":[184],"high":[185],"GAN-train":[186],"GAN-test":[188],"scores.":[189],"Furthermore,":[190],"integrate":[192],"training":[197],"classification":[200,218],"model.":[201,219],"We":[202],"observe":[203],"complement":[208],"real":[210],"improve":[213],"generalization":[215],"repository":[221],"available":[223],"here:":[224],"https://github.com/nisarnabeel/Dataset-GAN-Augmented-mmWave-CSI-for-improved-pose-classification":[225],"Paper":[226],"Link:https://ieeexplore.ieee.org/document/10646223/":[227]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}