Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models

Gang Li, Ogechi Onuoha, Mark McGill, Stephen A. Brewster, Chao-Ping Chen, Frank E. Pollick. Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{LiOMBCP21,
  title = {Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models},
  author = {Gang Li and Ogechi Onuoha and Mark McGill and Stephen A. Brewster and Chao-Ping Chen and Frank E. Pollick},
  year = {2021},
  doi = {10.1109/SSCI50451.2021.9660126},
  url = {https://doi.org/10.1109/SSCI50451.2021.9660126},
  researchr = {https://researchr.org/publication/LiOMBCP21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9048-8},
}