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Feasibility of using a fully immersive virtual reality system for kinematic data collection.
Spitzley, Kate A; Karduna, Andrew R.
Afiliação
  • Spitzley KA; Department of Human Physiology, University of Oregon, Eugene, OR, USA.
  • Karduna AR; Department of Human Physiology, University of Oregon, Eugene, OR, USA. Electronic address: karduna@uoregon.edu.
J Biomech ; 87: 172-176, 2019 04 18.
Article em En | MEDLINE | ID: mdl-30853091
ABSTRACT
Commercially-available Virtual Reality (VR) systems have the potential to be effective tools for simultaneous visual manipulation and kinematic data collection. Previously, these systems have been integrated with research-grade motion capture systems to provide both functionalities; however, they are yet to be used as stand-alone systems for kinematic data collection. The present study aimed to validate the HTC VIVE VR system for kinematic data collection by evaluating the accuracy of its position and orientation signals. The VIVE controller and tracker were each compared to a Polhemus Liberty magnetic tracking system sensor for angular and translational measurement error and signal drift. A sensor from each system was mounted to opposite ends of a rigid segment which was driven through fifty rotations and fifty translations. Mean angular errors for both the VIVE tracker and controller were below 0.4°. Mean translational error for both sensors was below 3 mm. Drift in the Liberty signal components was consistently lower than drift in VIVE components. However, all mean rotational drift measures were below 0.1° and all mean translational measures were below 0.35 mm. These data indicate that the HTC VIVE system has the potential to be a valid and reliable means of kinematic data collection. However, further investigation is necessary to determine the VIVE's suitability for capturing extremely minute or high-volume movements.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biofísica / Realidade Virtual Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biofísica / Realidade Virtual Idioma: En Ano de publicação: 2019 Tipo de documento: Article