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System Development for Automatic Control Using BCI

  • Antonio MezaEmail author
  • Rosario Baltazar
  • Miguel Casillas
  • Víctor Zamudio
  • Francisco Mosiño
  • Bladimir Serna
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 148)

Abstract

Brain-Computer Interface (BCI for its acronym in English) is a device that allow the communication between a user and adapted environment. The Ambient Assisted Living (AAL for its acronym in English) can be potentially used to assist people with some motor disability. In this article, we show the low-cost system development that permit an actuator control through commercial EEG signal acquisition, detecting a flickering. The system is also tested to evaluate its feasibility with an offline analysis in Matlab. The experiments and results are shown.

Keywords

EEG (Electroencephalogram) Embedded systems Brain-computer interface Muse FFT 

Notes

Acknowledgements

To CONACYT, for their support during the master degree process and research stay in Valencia, Spain. To “Persianas de los altos”, for their support with materials and Guanajuato’s government for giving us their support to complete this research.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Antonio Meza
    • 1
    Email author
  • Rosario Baltazar
    • 1
  • Miguel Casillas
    • 1
  • Víctor Zamudio
    • 1
  • Francisco Mosiño
    • 1
  • Bladimir Serna
    • 1
  1. 1.Instituto Tecnológico de LeónLeón, GuanajuatoMéxico

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