Comparison of Classifiers with Brain Computer Interface for Steady State Evoked Potentials

Authors

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

Keywords:

Brain computer interface (BCI), Steady state evoked potential (SSVEP)

Abstract

Bio signals based control system has been employed into the biomedical devices and prosthetic limbs for improving the life of severely disabled and elderly people. In this paper, a Brain computer interface (BCI) is presented using steady state evoked potential (SSVEP) for comparison of accuracy of four movements i.e. forward, backward, right and left of brain signals. The performance of subjects is analyzed with four classifiers at different fatigue levels. The experiment when performed using various classifiers resulted in different accuracy.

References

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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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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Robin Singh, Bipan Chand Kaushal "Comparison of Classifiers with Brain Computer Interface for Steady State Evoked Potentials" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.151-154, May-June-2017.