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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 3, MARCH 2016

Interpretation of Human Stages from EEG Signals Using LabVIEW

Tina Thomas, Mareena James, Roshmi Rose Shaji, Binu C Pillai

DOI: 10.17148/IJARCCE.2016.53126

Abstract: This document describes the analysis of Electroencephalogram (EEG) or brain signals using computational tool (LabVIEW) to interpret human stages such as drowsiness, sleepy state etc. Different thoughts and human stages generate different EEG signals. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical programming language that uses icons instead of lines of text to create applications. The EEG signals are analysed in LabVIEW to reveal the features which describes the human stage. Various filters are used to extract the feature and comparison between the outputs of all filters is also done. This feature will indicate the stage. This result could be displayed using an external hardware indicator. This determined stages or emotions could find applications in various fields such as robotics, mobility control etc. Throughout the project the brain signals will undergo signal conditioning and processing to extract the feature which will determine the human stage.



Keywords: EEG, Lab VIEW, human stages, indicator.

How to Cite:

[1] Tina Thomas, Mareena James, Roshmi Rose Shaji, Binu C Pillai, “Interpretation of Human Stages from EEG Signals Using LabVIEW,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.53126