Literature DB >> 23428452

Kinematic evaluation of virtual walking trajectories.

Gabriel Cirio1, Anne-Hélène Olivier, Maud Marchal, Julien Pettré.   

Abstract

Virtual walking, a fundamental task in Virtual Reality (VR), is greatly influenced by the locomotion interface being used, by the specificities of input and output devices, and by the way the virtual environment is represented. No matter how virtual walking is controlled, the generation of realistic virtual trajectories is absolutely required for some applications, especially those dedicated to the study of walking behaviors in VR, navigation through virtual places for architecture, rehabilitation and training. Previous studies focused on evaluating the realism of locomotion trajectories have mostly considered the result of the locomotion task (efficiency, accuracy) and its subjective perception (presence, cybersickness). Few focused on the locomotion trajectory itself, but in situation of geometrically constrained task. In this paper, we study the realism of unconstrained trajectories produced during virtual walking by addressing the following question: did the user reach his destination by virtually walking along a trajectory he would have followed in similar real conditions? To this end, we propose a comprehensive evaluation framework consisting on a set of trajectographical criteria and a locomotion model to generate reference trajectories. We consider a simple locomotion task where users walk between two oriented points in space. The travel path is analyzed both geometrically and temporally in comparison to simulated reference trajectories. In addition, we demonstrate the framework over a user study which considered an initial set of common and frequent virtual walking conditions, namely different input devices, output display devices, control laws, and visualization modalities. The study provides insight into the relative contributions of each condition to the overall realism of the resulting virtual trajectories.

Mesh:

Year:  2013        PMID: 23428452     DOI: 10.1109/TVCG.2013.34

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Influence of body visualization in VR during the execution of motoric tasks in different age groups.

Authors:  Stefan Pastel; Katharina Petri; Dan Bürger; Hendrik Marschal; Chien-Hsi Chen; Kerstin Witte
Journal:  PLoS One       Date:  2022-01-25       Impact factor: 3.240

2.  A Fully-Immersive Virtual Reality Setup to Study Gait Modulation.

Authors:  Chiara Palmisano; Peter Kullmann; Ibrahem Hanafi; Marta Verrecchia; Marc Erich Latoschik; Andrea Canessa; Martin Fischbach; Ioannis Ugo Isaias
Journal:  Front Hum Neurosci       Date:  2022-03-23       Impact factor: 3.169

  2 in total

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