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2021 Fiscal Year Final Research Report

Elucidation and application of balanced sense abnormality mechanism in virtual space by force controller triggered by Bereitschafts potential detection

Research Project

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Project/Area Number 19K12075
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61020:Human interface and interaction-related
Research InstitutionOita National College of Technology

Principal Investigator

Tsuru Koji  大分工業高等専門学校, 情報工学科, 教授 (70390549)

Project Period (FY) 2019-04-01 – 2022-03-31
Keywords脳波 / VR酔い / 疑似力覚 / 重心揺動 / 姿勢変位 / SSQ / 脳血流 / 集中度
Outline of Final Research Achievements

When viewing virtual reality displayed on a display, you may feel virtual reality sickness (VR sickness), which is a symptom similar to motion sickness. Virtual reality images are widely used in simulators for learning operation techniques, and 3D games. If this VR sickness can be suppressed, it will be possible to work and learn in virtual space, and the area where people can work will expand. In order to reduce VR sickness, we need a method that can objectively evaluate the subjective state of VR sickness of each individual. Therefore, in this study, it was clarified that the degree of VR sickness can be evaluated from the movement of the center of gravity of the body and the change of posture. In addition, it was difficult to evaluate VR sickness from the movement of the center of gravity and posture when body movements such as device operation are involved while watching virtual reality images, but it was possible to evaluate VR sickness from changes in occipital brain waves.

Free Research Field

脳波応用

Academic Significance and Societal Importance of the Research Achievements

ディスプレイなどに映し出される仮想現実の視聴で,乗り物酔いに似た症状である仮想現実酔い(VR酔い)を感じる場合がある.操作技術習得シミュレータやゲームなどで,VR映像は,広範囲に利用されている.このVR酔いを抑えることができれば,仮想空間での作業や学習も可能になり,人の活動できる領域も広がる.VR酔いを低減するには,個々人の主観的なVR酔いの状態を客観的に評価できる方法が必要である.そのため,本研究で体の重心移動や姿勢の変化から,VR酔いの程度を評価できることを明らかにした.また,動きを伴う映像視聴の際には,重心移動や姿勢での評価は難しく,脳波の変化からVR酔いを評価できることを明らかにした.

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Published: 2023-01-30  

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