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A Survey on Brain Computer Interface: A Computing Intelligence

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Computational Vision and Bio-Inspired Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1420))

Abstract

Evident growth in the neurotechnology has resulted in a new communication between the humans and computers. Brain computer interface (BCI) utilizes the capability of the human brain to interact directly with the environment for a physically challenged person and for the persons who are pretentious to epilepsy. BCI plays a major role in medical fields such as rehabilitation, mind reading for autism persons, remote communication, emotion classification, and so on. The electrical signals received from BCI create interest in technology development of wearable devices and also handling with the real-time data. The computational intelligence transfers the brain signals to the external devices which act according to the commands received from the brain. This paper reviews the basic BCI methods of signal acquisition techniques, signal classification based on their frequency and its applications. We also discuss the various challenges faced in implementing the BCI systems.

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Author information

Authors and Affiliations

  1. Sri Ramakrishna Engineering College, Coimbatore, India

    A. Shanmugapriya & A. Grace Selvarani

Authors
  1. A. Shanmugapriya
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  2. A. Grace Selvarani
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Corresponding author

Correspondence to A. Shanmugapriya .

Editor information

Editors and Affiliations

  1. Department of ECE, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. Departamento de Engenharia Mecanica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Shanmugapriya, A., Selvarani, A.G. (2022). A Survey on Brain Computer Interface: A Computing Intelligence. In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore. https://doi.org/10.1007/978-981-16-9573-5_57

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