{"id":"https://openalex.org/W4317350132","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013052","title":"Data Augmentation for RFID-based 3D Human Pose Tracking","display_name":"Data Augmentation for RFID-based 3D Human Pose Tracking","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317350132","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013052"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10013052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013052","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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/A5100438235","display_name":"Ziqi Wang","orcid":"https://orcid.org/0000-0002-0232-125X"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziqi Wang","raw_affiliation_strings":["Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201"],"affiliations":[{"raw_affiliation_string":"Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678528","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0002-3311-291X"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201"],"affiliations":[{"raw_affiliation_string":"Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080122431","display_name":"Shiwen Mao","orcid":"https://orcid.org/0000-0002-7052-0007"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201"],"affiliations":[{"raw_affiliation_string":"Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,36849-5201","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100438235"],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":0.8578,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70106762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.8003994822502136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6203328371047974},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5540326833724976},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5527978539466858},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5071086883544922},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.46005553007125854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4142579436302185},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41319501399993896},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08971846103668213},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0792425274848938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003994822502136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6203328371047974},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5540326833724976},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5527978539466858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5071086883544922},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.46005553007125854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4142579436302185},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41319501399993896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08971846103668213},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0792425274848938},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10013052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013052","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2963202339","https://openalex.org/W3096801167","https://openalex.org/W6846676161"],"related_works":["https://openalex.org/W1577771720","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4375867731","https://openalex.org/W67524538","https://openalex.org/W2283353220","https://openalex.org/W2894986065","https://openalex.org/W2078898468","https://openalex.org/W4387967917","https://openalex.org/W4287600488"],"abstract_inverted_index":{"Interest":[0],"in":[1,12,150],"Radio":[2],"Frequency":[3],"(RF)":[4],"based":[5,26,101],"3D":[6],"human":[7],"pose":[8,138,161],"tracking":[9],"has":[10],"skyrocketed":[11],"the":[13,45,48,83,116,142,156],"age":[14],"of":[15,18,47,62,118,144],"Artificial":[16],"Intelligence":[17],"Things":[19],"(AIoT).":[20],"Compared":[21],"to":[22,33,77,88,109,114,134],"Computer":[23],"Vision":[24],"(CV)":[25],"methods,":[27],"RF-based":[28,50],"approaches":[29],"are":[30],"more":[31],"resilient":[32],"lighting":[34],"and":[35,38,71,92,123],"non-line-of-sight":[36],"conditions,":[37],"can":[39],"better":[40],"preserve":[41],"user":[42],"privacy.":[43],"However,":[44],"majority":[46],"current":[49],"methods":[51],"rely":[52],"on":[53,102],"a":[54,97,128,146],"vision-aided":[55],"multi-modal":[56],"learning":[57],"approach.":[58],"An":[59],"extensive":[60],"amount":[61],"paired":[63],"training":[64],"data,":[65,73,139],"i.e.,":[66],"Radio-Frequency":[67],"Identification":[68],"(RFID)":[69],"data":[70,98,113,158],"vision":[72,137],"must":[74],"be":[75],"collected,":[76],"achieve":[78],"an":[79],"adequate":[80],"performance":[81],"with":[82],"supervised-learning":[84],"network.":[85],"In":[86,125],"order":[87],"mitigate":[89],"such":[90],"time-consuming":[91],"costly":[93],"tasks,":[94],"we":[95],"propose":[96],"augmentation":[99],"method":[100],"Generative":[103],"Adversarial":[104],"Network":[105],"(GAN),":[106],"named":[107],"RFPose-GAN,":[108],"generate":[110,135],"synthesized":[111,157],"RFID":[112,121],"alleviate":[115],"complications":[117],"using":[119,145],"commodity":[120],"tags":[122],"receivers.":[124],"this":[126],"paper,":[127],"forward":[129],"kinematic":[130],"layer":[131],"is":[132],"incorporated":[133],"simulated":[136],"thus":[140],"eliminating":[141],"need":[143],"Kinect":[147],"2.0":[148],"device":[149],"RFPose-GAN.":[151],"Experiments":[152],"conducted":[153],"demonstrate":[154],"that":[155],"achieves":[159],"accurate":[160],"estimation":[162],"performance.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
