Visually induced motion sickness (VIMS) is frequently reported with stereo and VR display systems. We tested whether VIMS can be detected by off-the-shelve wearable electrophysiology devices, where the VIMS were induced by driving in the virtual world. Our data indicates that 1) the correlation between blood pressure and heart rate, and 2) the changes of mean gravity frequencies in TP9Delta and FP1Theta, and 3) the changes of SDs in TP9Alpha and TP10Alpha of the EEG signals may be possible candidates of the VIMS onset indicator. However, it is still hard to conclude that those physiological signals can be used as definitive VIMS indicators because our analysis only differentiates the physiological response to VIMS vs. non-VIMS, not the detection of VIMS onset, nor estimation of VIMS severity in real-time.
Ran Liu, Eli Peli, Alex D. Hwang, "Measuring visually induced motion sickness using wearable devices" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging, 2017, pp 218 - 223, https://doi.org/10.2352/ISSN.2470-1173.2017.14.HVEI-147