Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

3D Scene Rendering Based on EEG Data Driven and the Application in Biofeedback Therapy

Authors
Xinliang Wei, Wei Sun
Corresponding Author
Xinliang Wei
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.28How to use a DOI?
Keywords
EEG data driven; 3D scene rendering; biofeedback therapy
Abstract
Using human biological signs to drive the scene and control the object in the scene, has important significance in the development of the virtual reality technology. Through human biological signs to drive the virtual scene, the user get a better sense of immersion. They also can control their own situation through the feedback information of the scene, so that their physical condition can reach a good state. The technology is also important in the biofeedback therapy. This paper uses brain waves to control the opening of the scroll in the virtual scene, and to verify the feasibility of the biological signs to drive the virtual scene. What’s more, it also analyze the application in biofeedback therapy briefly.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.28How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinliang Wei
AU  - Wei Sun
PY  - 2016/01
DA  - 2016/01
TI  - 3D Scene Rendering Based on EEG Data Driven and the Application in Biofeedback Therapy
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 112
EP  - 115
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.28
DO  - https://doi.org/10.2991/icaita-16.2016.28
ID  - Wei2016/01
ER  -