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Recognition and Real-Time Detection of Blinking Eyes on Electroencephalographic Signals Using Wavelet Transform

  • Renato Salinas
  • Enzo Schachter
  • Michael Miranda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

In this paper we study the detection of a specific pattern associated with the blinking of an eye in real time using electroencephalogram (EEG) signals of a single channel. This paper takes into account the theoretical and practical principles enabling the design and implementation of a system for real-time detection of time location, regardless of scale and multiple incidences. By using wavelet transform it permits us the fulfillment of our objective. The multiple detection and real-time operation is achieved by working with a pop-up window giving the projection of an ongoing analysis of the signal sampled by the EEG.

Keywords

biological signals electroencephalogram EEG brain computer interface BCI eye blink detection pattern recognition wavelet transform 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Renato Salinas
    • 1
  • Enzo Schachter
    • 1
  • Michael Miranda
    • 2
  1. 1.Departamento de Ingeniería MecánicaUniversidad de Santiago de ChileSantiagoChile
  2. 2.Programa de Doctorado en Automatización, Facultad de IngenieríaUniversidad de Santiago de ChileSantiagoChile

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