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Articles

Features of the Postural Sway Signal as Indicators to Estimate and Predict Visually Induced Motion Sickness in Virtual Reality

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Pages 771-785 | Published online: 28 Feb 2017
 

ABSTRACT

Navigation in a 3D immersive virtual environment is known to be prone to visually induced motion sickness (VIMS). Several psychophysiological and behavioral methods have been used to measure the level of sickness of a user, among which is postural instability. This study investigates all the features that can be extracted from the body postural sway: area of the projection of the center of gravity (mainly considered in past studies) and its shape and the frequency components of the signal’s spectrum, in order to estimate and predict the occurrence of sickness in a typical virtual reality (VR) application.

After modeling and simulation of the body postural sway, an experiment on 17 subjects identified a relation between the level of sickness and the variation both in the time and frequency domains of the body sway signal. The results support and go further into detail of findings of past studies using postural instability as an efficient indicator of sickness, giving insight to better monitor VIMS in a VR application.

Funding

This research was supported by the French Minister of Economy, Finances and Industry, under contract FUI Callisto.

Additional information

Funding

This research was supported by the French Minister of Economy, Finances and Industry, under contract FUI Callisto.

Notes on contributors

Jean-Rémy Chardonnet

Jean-Rémy Chardonnet received his Ph.D. degree in robotics from the Université de Montpellier II, France, in 2009. He was then with INRIA Grenoble, France. He is currently Assistant Professor at Arts et Métiers and CNRS Le2i Institut Image, Chalon-sur-Saône, France. His research interests include virtual reality and multimodal interaction.

Mohammad Ali Mirzaei received his Ph.D. degree in virtual reality from Arts et Métiers, France in 2014. His research focuses on signal/image processing and real-time systems.

Mohammad Ali Mirzaei

Mohammad Ali Mirzaei received his Ph.D. degree in virtual reality from Arts et Métiers, France in 2014. His research focuses on signal/image processing and real-time systems.

Frédéric Mérienne

Frédéric Mérienne is Full Professor at Arts et Métiers ParisTech and head of the research team in Virtual Immersion of the Le2i laboratory (Bourgogne Franche-Comté University, Arts et Métiers, CNRS). His research topics concern multisensory immersive techniques for interacting with a digital mock-up.

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