{"id":"https://openalex.org/W4366378552","doi":"https://doi.org/10.1109/jsen.2023.3267243","title":"Semisupervised Generative Adversarial Networks With Temporal Convolutions for Human Activity Recognition","display_name":"Semisupervised Generative Adversarial Networks With Temporal Convolutions for Human Activity Recognition","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366378552","doi":"https://doi.org/10.1109/jsen.2023.3267243"},"language":"en","primary_location":{"id":"doi:10.1109/jsen.2023.3267243","doi":"https://doi.org/10.1109/jsen.2023.3267243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2023.3267243","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5032848649","display_name":"Hazar Zilelioglu","orcid":"https://orcid.org/0009-0002-2118-7612","observed_orcids":["https://orcid.org/0009-0002-2118-7612"]},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hazar Zilelioglu","raw_affiliation_strings":["Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0009-0002-2118-7612","affiliations":[{"raw_affiliation_string":"Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000426379","display_name":"Ghazaleh Khodabandelou","orcid":"https://orcid.org/0000-0002-8078-8461","observed_orcids":["https://orcid.org/0000-0002-8078-8461"]},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ghazaleh Khodabandelou","raw_affiliation_strings":["Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0002-8078-8461","affiliations":[{"raw_affiliation_string":"Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088884307","display_name":"Abdelghani Chibani","orcid":"https://orcid.org/0000-0001-7122-1271","observed_orcids":["https://orcid.org/0000-0001-7122-1271"]},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelghani Chibani","raw_affiliation_strings":["Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0001-7122-1271","affiliations":[{"raw_affiliation_string":"Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044453604","display_name":"Yacine Amirat","orcid":"https://orcid.org/0000-0002-3238-0517","observed_orcids":["https://orcid.org/0000-0002-3238-0517"]},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yacine Amirat","raw_affiliation_strings":["Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0002-3238-0517","affiliations":[{"raw_affiliation_string":"Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197681013"],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":2.2103,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.89225834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"23","issue":"11","first_page":"12355","last_page":"12369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9624000191688538,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9624000191688538,"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":0.004000000189989805,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.0034000000450760126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-activity-recognition","display_name":"human activity recognition","score":0.9750000238418579},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9819999933242798},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/temporal-convolutional-network","display_name":"temporal convolutional network","score":0.8619999885559082},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"inertial measurement unit","score":0.9020000100135803},{"id":"https://openalex.org/keywords/limited-labeled-data","display_name":"limited labeled data","score":0.6039999723434448},{"id":"https://openalex.org/keywords/pamap2","display_name":"PAMAP2","score":0.6940000057220459},{"id":"https://openalex.org/keywords/ambient-assisted-living","display_name":"ambient assisted living","score":0.8769999742507935},{"id":"https://openalex.org/keywords/generalization","display_name":"generalization","score":0.4490000009536743}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8196578025817871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053916692733765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6387635469436646},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6229419708251953},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6083607077598572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5904849767684937},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5720939636230469},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.469890832901001},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4294186234474182},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0974474847316742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jsen.2023.3267243","doi":"https://doi.org/10.1109/jsen.2023.3267243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2023.3267243","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04326528v1","doi":null,"is_oa":false,"landing_page_url":"https://hal.science/hal-04326528","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Sensors Journal, 2023, 23 (11), pp.12355-12369. &#x27E8;10.1109/JSEN.2023.3267243&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1932847118","https://openalex.org/W2013582641","https://openalex.org/W2026297770","https://openalex.org/W2054780155","https://openalex.org/W2057907879","https://openalex.org/W2073401630","https://openalex.org/W2270470215","https://openalex.org/W2344284192","https://openalex.org/W2412510955","https://openalex.org/W2432004435","https://openalex.org/W2535388113","https://openalex.org/W2596763562","https://openalex.org/W2732997537","https://openalex.org/W2766319291","https://openalex.org/W2787289806","https://openalex.org/W2792263949","https://openalex.org/W2803458625","https://openalex.org/W2803675191","https://openalex.org/W2851629429","https://openalex.org/W2891048219","https://openalex.org/W2897943474","https://openalex.org/W2947485207","https://openalex.org/W2953522645","https://openalex.org/W2953917119","https://openalex.org/W2963054573","https://openalex.org/W2963170156","https://openalex.org/W2963855167","https://openalex.org/W2984353870","https://openalex.org/W2998662742","https://openalex.org/W3011785450","https://openalex.org/W3013727888","https://openalex.org/W3021673939","https://openalex.org/W3084255915","https://openalex.org/W3095437205","https://openalex.org/W3117865842","https://openalex.org/W3122290193","https://openalex.org/W3133590696","https://openalex.org/W3136077883","https://openalex.org/W3139646219","https://openalex.org/W3156725333","https://openalex.org/W3166187222","https://openalex.org/W3173400793","https://openalex.org/W3184978184","https://openalex.org/W3185580468","https://openalex.org/W3210766530","https://openalex.org/W3215720207","https://openalex.org/W4205189160","https://openalex.org/W4205771884","https://openalex.org/W4205964587","https://openalex.org/W4206703604","https://openalex.org/W4206780588","https://openalex.org/W4210654500","https://openalex.org/W4214843096","https://openalex.org/W4220693285","https://openalex.org/W4280587517","https://openalex.org/W4281609090","https://openalex.org/W4283359809","https://openalex.org/W4285079306","https://openalex.org/W4286986228","https://openalex.org/W4289172806","https://openalex.org/W4293660950","https://openalex.org/W4309763688","https://openalex.org/W4311424760","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4409356843","https://openalex.org/W4220782936","https://openalex.org/W4409916856","https://openalex.org/W2963521811","https://openalex.org/W4415179359","https://openalex.org/W4399399502","https://openalex.org/W4403420306","https://openalex.org/W2897551993","https://openalex.org/W2784931967","https://openalex.org/W7018279168"],"abstract_inverted_index":{"Many":[0],"potential":[1],"applications":[2],"of":[3,58,65,74,115,147,151,155,182,195,224,244],"human":[4],"activity":[5],"recognition":[6,97],"(HAR)":[7],"can":[8,22],"be":[9,23],"found":[10],"in":[11,25,46,106],"health,":[12],"surveillance,":[13],"manufacturing,":[14],"sports,":[15],"and":[16,42,51,119,131,157,180,185,207],"so":[17],"on.":[18],"For":[19],"instance,":[20],"HAR":[21,47,108,189],"exploited":[24],"ambient-assisted":[26],"living":[27],"(AAL)":[28],"systems":[29],"to":[30,37,98,103,143,191,216],"provide":[31],"users":[32],"with":[33,211,231],"assistance":[34],"services":[35],"intend":[36],"improve":[38],"their":[39],"well-being,":[40],"safety,":[41],"autonomy.":[43],"Data":[44],"annotation":[45],"is":[48,134,227],"a":[49,125,221],"complex":[50],"time-consuming":[52],"process":[53],"that":[54],"limits":[55],"the":[56,62,72,107,145,171,193,196,201,232,236,242,245],"availability":[57,73],"labeled":[59,152],"samples.":[60],"Furthermore,":[61],"classification":[63,205],"performance":[64,206,243],"supervised":[66],"deep":[67],"neural":[68],"networks":[69,89],"depends":[70],"on":[71,128,163,170],"large,":[75],"annotated":[76,116,225],"training":[77],"data.":[78],"This":[79],"article":[80],"proposes":[81],"an":[82],"alternative":[83],"framework":[84,123],"for":[85,94,175],"semisupervised":[86,95,141],"generative":[87],"adversarial":[88],"(GANs)":[90],"using":[91,235],"temporal":[92],"convolutions":[93],"action":[96],"address":[99],"several":[100],"problems":[101],"related":[102],"conventional":[104],"approaches":[105],"context,":[109],"such":[110],"as":[111],"high":[112,204],"dimensionality,":[113],"scarcity":[114],"data,":[117,153],"scalability,":[118],"robustness.":[120],"The":[121,166,198],"proposed":[122,202],"employs":[124],"single":[126],"architecture":[127],"different":[129],"datasets":[130,190,238],"its":[132],"effectiveness":[133],"tested":[135],"under":[136],"four":[137],"conditions":[138],"reflecting":[139],"real-world":[140],"scenarios":[142],"investigate":[144],"impact":[146],"intersubject":[148],"training,":[149],"amount":[150,223],"number":[154],"classes,":[156],"inertial":[158],"measurement":[159],"unit":[160],"(IMU)":[161],"positions":[162],"model":[164],"performance.":[165],"evaluations":[167],"are":[168],"performed":[169],"Physical":[172],"Activity":[173],"Monitoring":[174],"Aging":[176],"People":[177],"(PAMAP2),":[178],"opportunity-locomotion,":[179],"Laboratory":[181],"Images,":[183],"Signals":[184],"Intelligent":[186],"Systems":[187],"(LISSI)":[188],"evaluate":[192],"generalizability":[194],"framework.":[197,246],"results":[199],"show":[200],"framework\u2019s":[203],"generalization":[208],"ability":[209],"compared":[210],"baseline":[212],"methods,":[213],"achieving":[214],"up":[215],"25%":[217],"improvement":[218],"when":[219],"only":[220],"small":[222],"data":[226],"available.":[228],"A":[229],"comparison":[230],"previous":[233],"work":[234],"same":[237],"has":[239],"also":[240],"validated":[241]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-04-21T00:00:00"}
