Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities

Phil Lopes, Nuno Fachada, Micaela Fonseca, Hugo Gamboa, Claudia Quaresma

2024

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.

Paper Citation

in Harvard Style

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 - Volume 1: BIOSIGNALS; ISBN 978-989-758-688-0, SciTePress, pages 778-785. DOI: 10.5220/0012424200003657

in Bibtex Style

@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 - Volume 1: BIOSIGNALS},
year={2024},
pages={778-785},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012424200003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities
SN - 978-989-758-688-0
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