Experiences in reading detection with EEG signals

  • Authors:
  • Inês Oliveira;Ovidiu Grigore;Nuno M. Guimarães;Carlos Duarte

  • Affiliations:
  • Universidade Lusófona, Campo Grande, Lisboa, Portugal;University of Lisbon, Campo Grande, Lisboa, Portugal;University of Lisbon, Campo Grande, Lisboa, Portugal;University of Lisbon, Campo Grande, Lisboa, Portugal

  • Venue:
  • Proceedings of the 2010 ACM Symposium on Applied Computing
  • Year:
  • 2010

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Abstract

This short paper introduces the use of neurophysiological signals, electroencephalogram (EEG), as a technique for reading detection. Reading detection is a focused problem, yet with multiple facets and application relevance. The paper refers to the system architecture that supports the reading detection experiments, describes the sample tools designed for the experiment and discusses the results. The experiences demonstrate that the approach to reading detection is feasible. In addition, they highlight the technical and usability limitations of the approach, which are expected to be reduced both through system tuning and optimization, and through the technological evolution of the peripheral devices.