Corpus ID: 218673579

Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface

@article{Lee2020ReconstructingES,
  title={Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface},
  author={Young-Eun Lee and Minji Lee and Seong-Whan Lee},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.08430}
}
Practical brain-machine interfaces have been widely studied to accurately detect human intentions using brain signals in the real world. However, the electroencephalography (EEG) signals are distorted owing to the artifacts such as walking and head movement, so brain signals may be large in amplitude rather than desired EEG signals. Due to these artifacts, detecting accurately human intention in the mobile environment is challenging. In this paper, we proposed the reconstruction framework based… Expand
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