Analysis of VR Sickness and Gait Parameters During Non-Isometric Virtual Walking with Large Translational Gain

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PubDate: November 2019

Teams: University of Technology Sydney

Writers: Carlos Alfredo Tirado Cortes, Hsiang-Ting Chen, Chin-Teng Lin

PDF: Analysis of VR Sickness and Gait Parameters During Non-Isometric Virtual Walking with Large Translational Gain

Abstract

This project presents an experiment that investigated VR sickness and gait parameters during the non-isometric virtual walking experience, particularly at large and detectable translational gain (TG) levels. Figure 1 shows the experiment setup. During the experiment, the participant was instructed to walk toward a destination marked by a red arrow and back to the original position on a virtual street with six different levels of TG at an increasing order{1, 2, 4, 6, 8, 10}. We hypothesized that TG would have a main effect on the perceived level of VR sickness and CoM displacement and gait performance. More specifically, we hypothesized that participant would experience more severe VR sickness symptoms, larger posture instability, and decreased gait performance as TG increases.

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