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Presentation . 2019
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Biosignali za procenu sajber mučnine

Authors: Miljković, Nadica;

Biosignali za procenu sajber mučnine

Abstract

Invited lecture held on April 5, 2019 at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia at the Laboratory of Information Technologies LaIT. More at: http://www.lait.fe.uni-lj.si/en/home-2/il/2019-miljkovic/. The lecture was followed by the electrogastrography (EGG) demo: http://www.lait.fe.uni-lj.si/en/home-2/il/2019-egg-hands-on/. Abstract: The talk will explore a variety of available biosignals for quantitative assessment of motion sickness. Specific focus will be given to the assessment of cybersickness, being a special case of motion sickness induced by virtual reality and simulator experiences. Cybersickness is not just an interesting phenomenon that deserves to be explored; it’s also a major stumbling block for the wider application of virtual reality. Recent boost of scientific interest in well known method to record biosignals related to gastric motility (electrogastrography, EGG) might just suit the need for objective assessment of this unpleasant phenomenon. Results of a recent case study with aim at assessment of cybersickness by EGG will be presented together with pathways and pitfalls for future EGG application. On November 12, 2019 updated version of this presentation in Serbian language with slides in English language with title in Serbian "Biosignali za procenu sajber mučnije" was held at the University of Belgrade - School of Electrical Engineering, Serbia during the conference Brand New Engineers BNE (http://brandnewengineers.rs/) organized by Electrical Engineering Students’ European Association EESTEC LC Belgrade (http://eestec.etf.bg.ac.rs/).

Keywords

biosignal analysis, simulator, motion sickness, electrogastrography, cybersickness, virtual reality, automotive

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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