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

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3 Author(s)
Park Min-Jae ; Dept. of Biomed. Eng., Seoul Nat. Univ., South Korea ; Park Kwang-Suk ; Kim Hyun-Taek

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++.

Published in:

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:2 )

Date of Conference: