Corpus ID: 199000714

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals

@article{Zhang2019MultitaskGA,
  title={Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals},
  author={Xinyang Zhang and Xiaocong Chen and Manqing Dong and H. Liu and Chang Ge and Lina Yao},
  journal={Aust. J. Intell. Inf. Process. Syst.},
  year={2019},
  volume={15},
  pages={36-43}
}
Synthesizing geometrical shapes from human brain activities is an interesting and meaningful but very challenging topic. Recently, the advancements of deep generative models like Generative Adversarial Networks (GANs) have supported the object generation from neurological signals. However, the Electroencephalograph (EEG)-based shape generation still suffer from the low realism problem. In particular, the generated geometrical shapes lack clear edges and fail to contain necessary details. In… Expand
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