Analysis of immergence using biological signals and neural network in virtual reality environment

Author

Min-Jae, Park ; Kwang-Suk, Park ; Hyun-Taek, Kim

Author_Institution

Dept. of Biomed. Eng., Seoul Nat. Univ., South Korea

Volume

2

fYear

2001

fDate

2001

Firstpage

1756

Abstract

We tried to measure the immergence objectively under a virtual reality environment using bio-signals. Multi-channeled bio-signals, such as EEG, ECG, EOG, respiration, PPG, skin temperature, skin conductance level and nausea time are acquired in VR environment. For quantification of nausea, we used an artificial neural network with preprocessed bio-signals. For real-time nausea evaluation, a new system is implemented with Matlab and Visual C++.

Keywords

biothermics; electro-oculography; electrocardiography; electroencephalography; feedforward neural nets; medical signal processing; plethysmography; pneumodynamics; real-time systems; skin; virtual reality; ECG; EEG; EOG; Matlab; PPG; Visual C++; artificial neural network; biological signals; feed-forward error back-propagation neural network; immergence analysis; nausea quantification; nausea time; neural network; photoplethysmography; preprocessed bio-signals; real-time nausea evaluation; respiration; skin conductance level; skin temperature; virtual reality environment; Artificial neural networks; Electrocardiography; Electroencephalography; Electrooculography; Neural networks; Real time systems; Signal analysis; Skin; Temperature; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020558

Filename

1020558