FE - Atas de Conferências Internacionais
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Item Modelling physiological sensor noise to movement-based virtual reality activities(Scitepress, 2024-02-23) Lopes, Phil; Fachada, Nuno; Fonseca, Micaela; Gamboa, Hugo; Quaresma, ClaudiaThis 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.