Modelling physiological sensor noise to movement-based virtual reality activities

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dc.contributor.authorLopes, Phil
dc.contributor.authorFachada, Nuno
dc.contributor.authorFonseca, Micaela
dc.contributor.authorGamboa, Hugo
dc.contributor.authorQuaresma, Claudia
dc.date.accessioned2024-02-28T13:17:57Z
dc.date.available2024-02-28T13:17:57Z
dc.date.issued2024-02-23
dc.descriptionProceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024)en
dc.description.abstractThis position paper proposes the hypothesis that physiological noise artefacts can be classified based on the type of movements performed by participants in Virtual Reality contexts. To assess this hypothesis, a detailed research plan is proposed to study the influence of movement on the quality of the captured physiological signals. This paper argues that the proposed plan can produce a valid model for classifying noisy physiological signal features, providing insights into the influence of movement on artefacts, while contributing to the development of movement-based filters and the implementation of best practices for using various associated technologies.en
dc.description.sponsorshipThis work was funded by Fundação para a Ciência e Tecnologia under HEI-Lab R&D Unit (UIDB/05380/2020: https://doi.org/10.54499/UIDB/05380/2020), COPELABS R&D Unit (UIDB/04111/2020: https://doi.org/10.54499/UIDB/04111/2020) and LIBPhys R&D Unit (UIDB/FIS/04559/2020: https://doi.org/10.54499/UIDB/04559/2020 and UIDP/FIS/04559/2020: https://doi.org/10.54499/UIDP/04559/2020).pt
dc.formatapplication/pdfpt
dc.identifier.citationLopes, P., Fachada, N., Fonseca, M., Gamboa, H. & Quaresma, C. (2024). Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSIGNALS 2024, vol. 1 (pp. 778-785), Rome, Italy. SciTePress/INSTICC. https://doi.org/10.5220/0012424200003657pt
dc.identifier.isbn978-989-758-688-0
dc.identifier.issn2184-4305
dc.identifier.urihttps://doi.org/10.5220/0012424200003657
dc.identifier.urihttp://hdl.handle.net/10437/14531
dc.language.isoengpt
dc.publisherScitepresspt
dc.rightsopenAccesspt
dc.subjectREALIDADE VIRTUALpt
dc.subjectVIRTUAL REALITYen
dc.subjectPROCESSAMENTO DE DADOSpt
dc.subjectDATA PROCESSINGen
dc.subjectBIOFEEDBACKpt
dc.subjectAPRENDIZAGEM COMPUTACIONALpt
dc.subjectMACHINE LEARNINGen
dc.titleModelling physiological sensor noise to movement-based virtual reality activitiesen
dc.typeconferenceObjectpt

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