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

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++.