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Authors: Phil Lopes 1 ; Nuno Fachada 2 ; Micaela Fonseca 1 ; Hugo Gamboa 3 and Claudia Quaresma 3

Affiliations: 1 Lusofona University, HEI-Lab, Campo Grande, 376, 1749-024 Lisboa, Portugal ; 2 Lusofona University, COPELABS, Campo Grande, 376, 1749-024 Lisboa, Portugal ; 3 LIBPhys, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal

Keyword(s): Virtual Reality, Data Processing, Biofeedback, Machine Learning.

Abstract: This 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lopes, P.; Fachada, N.; Fonseca, M.; Gamboa, H. and 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; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 778-785. DOI: 10.5220/0012424200003657

@conference{biosignals24,
author={Phil Lopes. and Nuno Fachada. and Micaela Fonseca. and Hugo Gamboa. and Claudia Quaresma.},
title={Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS},
year={2024},
pages={778-785},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012424200003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS
TI - Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities
SN - 978-989-758-688-0
IS - 2184-4305
AU - Lopes, P.
AU - Fachada, N.
AU - Fonseca, M.
AU - Gamboa, H.
AU - Quaresma, C.
PY - 2024
SP - 778
EP - 785
DO - 10.5220/0012424200003657
PB - SciTePress