The SAVE lab conducts research in virtual, augmented, and mixed reality. Our current projects focus on cybersickness prediction/ reduction, accessibility and rehabilitation for persons with disabilities, and immersive language learning.

List of publications

Cybersickness datasets

All datasets are labeled with Fast Motion Sickness Scale (FMS) ratings at 30-60 time intervals.

Roller Coaster 2020 - FMS, SSQ, first person virtual video, heart rate, and galvanic skin response data, EEG. Paper Link.

Simulations 2021- FMS, SSQ, first person virtual video, head tracking, eye tracking, heart rate, and galvanic skin response data. Paper Link.

Terrain 2022 - FMS, SSQ, first person virtual video, head tracking, eye tracking, and galvanic skin response data. Paper Link.

Terrain 2023- FMS, SSQ, first person virtual video, and galvanic skin response data. Paper Link.

How to get access to datasets:

Fill out our access request form here: https://forms.gle/jJv9QW6SqAADxuKA9 

Cybersickness Prediction and Reduction Code

Roller Coaster, Simulations, Data Logging, Deep learning models - https://github.com/shovonis

GingerVR (cybersickness reduction) - https://github.com/angsamuel/GingerVR