Authors
Makoto Sakamoto1, *, Kenji Sakoma1, Taketo Kamasaka1, Kodai Miyamoto1,
Amane Takei1, Tsutomu Ito2, Takao Ito3
1Faculty of Engineering, University of Miyazaki, Miyazaki-City, Miyazaki
889-2192, Japan
2National Institute of Technology, Ube College, Ube-City, Yamaguchi 755-8555,
Japan
3Graduate School of Advanced Science and Engineering, Hiroshima University,
Higashi-Hiroshima, Hiroshima 739-8527, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Makoto Sakamoto
Received 13 November 2020, Accepted 6 May 2021, Available Online 27 December
2021.
DOI
https://doi.org/10.2991/jrnal.k.211108.013
Keywords
Brain–machine interface (BMI); computer graphics (CG); electroencephalography
(EEG); the fast Fourier transform (FFT); support vector machine (SVM);
virtual reality (VR)
Abstract
Virtual Reality (VR) has grown with the development of computer Graphics
(CG). In recent years, VR technology is expected to develop in various
fields such as medical, welfare, education, training, tourism, business,
entertainment, and so on. This paper aims at intuitive operation by focusing
on troublesome mounting in VR. When using VR equipment, it is required
to set up many cables and sensors. In addition, when using it, there must
always have a certain space around the user, because we always use the
controller when operating in the world of VR, for reasons of care or for
the safety of the user. Therefore, the location must be selected when the
VR device is used. Furthermore, we also verified whether the VR space can
be operated just by thinking in the head of a device that is economic than
the device used in the existing study. As a method to solve this issue,
we propose manipulation method of CG character by Electroencephalography
(EEG). We use the brain–machine interface to measure brain waves, the fast
Fourier transform and the support vector machine as the methods of EEG
analysis in this paper. In the future, we will continue our study using
different approaches of EEG analysis and new conditions by changing the
method of EEG analysis and other conditions.
Copyright
© 2021 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license
(http://creativecommons.org/licenses/by-nc/4.0/).