Multitask learning for EEG-based biometrics

  title={Multitask learning for EEG-based biometrics},
  author={Shiliang Sun},
  journal={2008 19th International Conference on Pattern Recognition},
Biometrics based on electroencephalogram (EEG) signals is an emerging research topic. Several recent results have shown its feasibility and potential for personal identification. However, they all use a single task (e.g., signals recorded during imagination of repetitive left hand movements or during resting with eyes open) for classifier design and subsequent identification. In contrast with this, in this paper multiple related tasks are used simultaneously for classifier learning. This… CONTINUE READING
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The electroencephalogram as a biometrics

  • R. Paranjape, J. Mahovsky, L. Benedicenti, Z. Koles
  • Proceedings of the Canadian Conference on…
  • 2001
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