Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation

@article{Bird2021SyntheticBS,
  title={Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation},
  author={Jordan J. Bird and Michael Pritchard and Antonio Fratini and Anik{\'o} Ek{\'a}rt and Diego Resende Faria},
  journal={IEEE Robotics and Automation Letters},
  year={2021},
  volume={6},
  pages={3498-3504}
}
Synthetic data augmentation is of paramount importance for machine learning classification, particularly for biological data, which tend to be high dimensional and with a scarcity of training samples. The applications of robotic control and augmentation in disabled and able-bodied subjects still rely mainly on subject-specific analyses. Those can rarely be generalised to the whole population and appear to over complicate simple action recognition such as grasp and release (standard actions in… Expand
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