Application of EEG S-Transformation Combined with Dimensionless Metrics for Automatic Detection of Cybersickness

Author:

Zhou Zhanfeng,Hua Chengcheng,Chai Lining,Tao Jianlong

Publisher

Springer Nature Singapore

Reference10 articles.

1. Liu, R., Zhuang, C., Yang, R., et al.: Effect of economically friendly acustimulation approach against cybersickness in video-watching tasks using consumer VR devices. Appl. Ergon. 8(2), 29–40 (2020)

2. Yildirim, C.: Cybersickness during VR gaming undermines game enjoyment: a mediation model. Displays 5(9), 35–43 (2019)

3. Yang, Z., Ren, H.: Feature extraction and simulation of EEG signals during exercise-induced fatigue. IEEE Access. 46(3), 89–98 (2019)

4. Gursel Ozmen, N., Gumusel, L., Yang, Y.: A biologically inspired approach to frequency domain feature extraction for EEG classification. Comput Math Methods Med. 20(18), 98–112 (2018)

5. Krokos, E., Varshney, A.: Quantifying VR cybersickness using EEG. VR. 26(1), 77–89 (2021)

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