Hardware and software for integrating brain–computer interface with Internet of Things

  1. Francisco Laport 1
  2. Francisco Vazquez-Araujo 1
  3. Paula Castro 1
  4. Adriana Dapena 1
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

Libro:
Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I
  1. José Manuel Ferrández Vicente (dir. congr.)
  2. José Ramón Álvarez-Sánchez (dir. congr.)
  3. Félix de la Paz López (dir. congr.)
  4. Javier Toledo Moreo (dir. congr.)
  5. Hojjat Adeli (dir. congr.)

Editorial: Springer Suiza

ISBN: 978-3-030-19591-5

Año de publicación: 2019

Páginas: 22-31

Tipo: Capítulo de Libro

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Resumen

This work shows a system that appropriately integrates aBrain–Computer Interface and an Internet of Things environment based on eye state identification. The Electroencephalography prototype for brain electrical signal acquisition has been designed by the authors. This prototype uses only one electrode and its size is very small, which facilitates its use for all type of applications. We also design a classifier based on the simple calculation of a threshold ratio between alpha and beta rhythm powers.As shown from some experiment results, this thresholdbased classifier shows high accuracies for medium response times, and according to that state identification any smart home environment with those response requirements could correctly act, for example ON–OFF switching room lights.

Fuente de los datos: Dialnet