NAUD, M. Maxence (2021) Using EEG in Virtual Reality Environments to Predict Cybersickness PFE - Project Graduation, ENSTA.
When moving in a virtual environment, 20% to 80% of users report symptoms of a subcategory of motion sickness called cybersickness (Munafo et al., 2017). This adverse side effect is one of the main issues that has prevented Virtual Reality from a global expansion. This report explores the possibility to predict cybersickness by identifying EEG-based markers occurring before the onset of symptoms. It focuses on vection, the subjective sensation of being in motion that may appear even when motionless and that has been identified along cybersickness numerous times (Keshavarz et al., 2015a), as well as Perturbation-Evoked Potentials (PEP), a specific EEG pattern spotted during losses of balance. Through the design of an experimental protocol aiming to induce vection in participants, its implementation and the results analysis, no connection could be confirmed for now between vection and PEPs.
|Item Type:||Thesis (PFE - Project Graduation)|
|Uncontrolled Keywords:||Electroencephalography, Perturbation-Evoked Potentials, Vection, Cybersickness, Brain Computer Interface|
|Subjects:||Information and Communication Sciences and Technologies|
Life Sciences and Engineering
|Deposited By:||Maxence NAUD|
|Deposited On:||05 nov. 2021 07:18|
|Dernière modification:||05 nov. 2021 07:18|
Repository Staff Only: item control page