Hybrid Brain-Computer Interface System : A Review

Authors

  • Robin Singh  Electronics Department, PEC University of Technology, Chandigarh, India
  • Bipan Chand Kaushal  Electronics Department, PEC University of Technology, Chandigarh, India

Keywords:

Brain Computer Interface (BCI), Electroencephalography (EEG), Steady State Visually Evoked Potential (SSVEP), Electromyography (EMG), Event related potential (ERP)

Abstract

Bio signals based control system has been employed in to the biomedical devices and prosthetic limbs for improving the life of severely disabled and elderly people. Many Research papers and study of Brain computer interface (BCI) shows a huge potential of this field for future research. Conventional BCIs are not fully advance to operate in real-time applications due to high false positive rate, low information rate, lack of high accuracy, adaptability and reliability. To overcome these difficulties, researchers have found solutions by utilizing the individual advantages of different BCI network and combined them to make a new system. These systems are known as hybrid BCI system and enhances the performance, reliability, accuracy of the system. In this paper we analyze and review different combinations of BCIs and explains their merits and demerits.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-06-30

Issue

Volume 3, Issue 3, May-June-2017

Section

Research Articles

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How to Cite

[1]
Robin Singh, Bipan Chand Kaushal, " Hybrid Brain-Computer Interface System : A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.595-602, May-June-2017.