Traction force presentation in redirected walking

Toshiya Kurosaki; Takayuki Nakata

doi:10.1117/12.2626113

30 April 2022 Traction force presentation in redirected walking

Toshiya Kurosaki, Takayuki Nakata

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771N (2022) https://doi.org/10.1117/12.2626113
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

Walking real space for move in virtual environment is one of methods for improve immersion of Virtual Reality (VR) contents. However, a movable space in virtual environment is limited by real space obstacles such as walls. As a result, an experience of the VR content may be impaired. One solution of this problem is Redirected Walking (RDW). RDW is a method for enabling walk on virtual space that larger than limited real space. The method led to an illusion of walking direction by rotation of virtual scene. Previous research has indicated that haptics can be enhance a level of illusion. In this study, we propose a RDW method combining traction force presentation with virtual scene rotation. We develop a RDW system that presents traction force as the subject walks, and conducted experiments with few subjects. Result of experiment suggests possibility of enhancing an illusion level by traction force presentation.

Citation Download Citation

Toshiya Kurosaki and Takayuki Nakata "Traction force presentation in redirected walking", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771N (30 April 2022); https://doi.org/10.1117/12.2626113

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available