Journal of Robotics, Networking and Artificial Life

Volume 8, Issue 4, March 2022, Pages 293 - 297

A Fundamental Study on Control of CG Character using Brain Wave Discrimination

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: sakamoto@cs.miyazaki-u.ac.jp
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.211108.013How to use a DOI?
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 Atlantis Press International B.V.
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/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
8 - 4
Pages
293 - 297
Publication Date
2021/12/27
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.211108.013How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
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/).

Cite this article

TY  - JOUR
AU  - Makoto Sakamoto
AU  - Kenji Sakoma
AU  - Taketo Kamasaka
AU  - Kodai Miyamoto
AU  - Amane Takei
AU  - Tsutomu Ito
AU  - Takao Ito
PY  - 2021
DA  - 2021/12/27
TI  - A Fundamental Study on Control of CG Character using Brain Wave Discrimination
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 293
EP  - 297
VL  - 8
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.211108.013
DO  - https://doi.org/10.2991/jrnal.k.211108.013
ID  - Sakamoto2021
ER  -