Hybrid Brain-Computer Interface System for Monitoring of Eclectic Performance

Title: Hybrid Brain-Computer Interface System for Monitoring of Eclectic Performance
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 3 Issue 1
Authors: S. Masood Ahmed and A.N. Sharma


Abstract

Increasing range of analysis activities and differing types of studies in brain-computer interface (BCI) systems show potential during this young analysis space. analysis groups have studied options of various knowledge acquisition techniques, brain activity patterns, feature extraction techniques, ways of classifications, and lots of alternative aspects of a BCI system. However, standard BCIs haven't become whole applicable, thanks to the dearth of high accuracy, responsibility, low info transfer rate, and user acceptableness. a replacement approach to make a a lot of reliable BCI that takes advantage of every system is to mix 2 or a lot of BCI systems with totally brain activity patterns or different signaling sources. this kind of BCI, referred to as hybrid BCI, might cut back disadvantages of every standard BCI system. additionally, hybrid BCIs might produce a lot of applications and probably increase the accuracy and also the info transfer rate. However, the kind of BCIs and their mixtures ought to be thought of fastidiously. during this paper, when introducing many sorts of BCIs and their mixtures, we have a tendency to review and discuss hybrid BCIs, totally different prospects to mix them, and their blessings and drawbacks.

Keywords

BLDA, BCI, ECP, EES, ERP, ITR, MEG, NCS, PSD.

Download Full Text

(For complimentary copy, please contact Chief_editor@innovationjournals.com)