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

Min Jae Park, Kwangsuk Park, Kim Hyun-Taek

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

We tried to measure the immergence objectively under 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 artificial neural network by preprocessed bio-signals. For real-time nausea evaluation, new system is implemented with Matlab and Visual C++.

Original languageEnglish
Pages (from-to)1756-1757
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 1 Dec 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 25 Oct 200128 Oct 2001

Fingerprint

Virtual reality
Nausea
Skin
Neural networks
Electroencephalography
Electrocardiography
Electrooculography
Skin Temperature
Respiration
Temperature

Keywords

  • Bio-signal
  • Neural network
  • Virtual reality

Cite this

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Analysis of immergence using biological signals and neural network in virtual reality environment. / Park, Min Jae; Park, Kwangsuk; Hyun-Taek, Kim.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 2, 01.12.2001, p. 1756-1757.

Research output: Contribution to journalConference articleResearchpeer-review

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