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Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34169
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dc.contributor.authorCosta Nascimento dos Santos, Allan-
dc.contributor.authorSoares, Pamella-
dc.contributor.authorGaldino, Iandra-
dc.contributor.authorRamos, Taiane C-
dc.contributor.authorAlbuquerque, Célio-
dc.contributor.authorGuerra, Raphael-
dc.contributor.authorFernandes, Natalia C-
dc.contributor.authorMuchaluat-Saade, Débora C-
dc.contributor.authorGhinea, Gheorghita-
dc.date.accessioned2026-11-12T17:28:49Z-
dc.date.available2026-11-12T17:28:49Z-
dc.date.issued2026-08-15-
dc.identifier.citationCosta Nascimento dos Santos, A. et al. (2026) 'A transformer-based framework for device-free human activity recognition using Wi-Fi CSI', Annals of Telecommunications, 0(ahead of print), pp. 1–28. doi: 10.1007/s12243-026-01207-3.en_US
dc.identifier.issn0003-4347-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/34169-
dc.descriptionData availability: The raw CSI data and the statistical social data from the dataset are available for research purposes and can be shared upon request.en_US
dc.descriptionCode availability: The Python code used for DFS-CSI is available at https://github.com/mestrelan/MDA-CSI .en_US
dc.description.abstractHuman activity recognition (HAR) plays a pivotal role in ambient assisted living, particularly for monitoring the elderly and patients with chronic conditions. However, traditional approaches relying on wearable sensors or video cameras face significant challenges regarding user compliance and privacy intrusion. To mitigate these issues, this paper proposes a device-free sensing (DFS) ( https://github.com/mestrelan/MDA-CSI ) framework utilizing Wi-Fi channel state information (CSI), named named DFS-CSI. We introduce a robust Transformer-based architecture designed to capture long-range temporal dependencies in wireless signals. DFS-CSI was validated using a comprehensive dataset from 86 volunteers, ensuring high generalization capabilities across diverse human motion patterns.en_US
dc.description.sponsorshipUniversidade Federal Fluminenseen_US
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientfico e Tecnolgico-
dc.description.sponsorshipCoordenao de Aperfeioamento de Pessoal de Nvel Superior (Finance Code 001)-
dc.description.sponsorshipFundao de Amparo Pesquisa do Estado do Rio de Janeiro-
dc.description.sponsorshipFinanciadora de Estudos e Projetos-
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)-
dc.description.sponsorshipInstituto Nacional de Cincia e Tecnologia em Medicina Assistida por Computao Cientfica-
dc.description.sponsorshipINCT-ICONIoT-
dc.format.extentpp. 1–28-
dc.languageEnglishen_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.rightsRe-use licence for this version: Creative Commons Attribution 4.0 International-
dc.rightsLicence for published version: Creative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecttransformer modelen_US
dc.subjectchannel state informationen_US
dc.subjectWi-Fien_US
dc.subjectwireless sensing systemen_US
dc.subjecthealthcareen_US
dc.subjecthuman activity recognitionen_US
dc.subject.classification0906 Electrical and Electronic Engineering-
dc.subject.classification1005 Communications Technologies-
dc.subject.otherNetworking & Telecommunications-
dc.titleA transformer-based framework for device-free human activity recognition using Wi-Fi CSIen_US
dc.typeArticleen_US
dc.date.dateAccepted2026-08-04-
dc.identifier.doihttps://doi.org/10.1007/s12243-026-01207-3-
dc.relation.isPartOfAnnals of Telecommunicationsen_US
pubs.issue0-
pubs.publication-statusPublished online-
pubs.volume00-
dc.identifier.eissn1958-9395-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2026-08-04-
dcterms.issued2026-08-15-
dc.date.updated2026-11-12T17:25:03Z-
dc.rights.holderThe Author(s)-
dc.contributor.orcidCosta Nascimento dos Santos, Allan [0000-0002-9400-5990]-
dc.contributor.orcidSoares, Pamella [0000-0002-8691-7180]-
dc.contributor.orcidGaldino, Iandra [0000-0002-3564-2092]-
dc.contributor.orcidRamos, Taiane C [0000-0002-0351-1450]-
dc.contributor.orcidFernandes, Natalia C [0000-0001-9481-6374]-
dc.contributor.orcidMuchaluat-Saade, Débora C [0000-0002-1233-9736]-
dc.contributor.orcidGhinea, Gheorghita [0000-0003-2578-5580]-
Appears in Collections:Department of Computer Science Research Papers

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