Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020558
