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Interpretation of Human Thought using EEG Signals and LabVIEW

Norizam, Sulaiman and Cheng, Chee Hau and Amran, Abdul Hadi and Mahfuzah, Mustafa and M. S., Jadin (2014) Interpretation of Human Thought using EEG Signals and LabVIEW. In: 4th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014), 28- 30 November 2014 , Batu Ferringhi, Penang. pp. 384-388..

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Abstract

This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computational tool (LabVIEW) to interpret human thought such as moving forward, backward, turn right, turn left and to stop. This study is conducted to assist the disable people to communicate with external environment. The EEG signals are captured using wireless EEG amplifier while the subject in relax conditioin. Then, the signals are analyzed in LabVIEW to reveal the features to describe human thought. The features will be applied by the state machine to control the movements. The extracted EEG features are the ratio of EEG power spectrum from 14 channels. The Read Biosignal and STFT Spectrogram Toolbox of LabVIEW are used to process the EEG raw data and to produce the EEG Power Spectrum. Then, the pattern of the EEG Power Spectrum are studied to provide the feature vectors for the state machine. The outcome of the study indicates that the movement or direction can be determined based on the extracted features of EEG signals in LabVIEW.

Item Type: Conference or Workshop Item (Speech)
Additional Information: ISBN: 978-1-4799-5685-2
Uncontrolled Keywords: EEG; LabVIEW; Power spectrum; Human thought; Direction; State machine
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mr. Norizam Sulaiman
Date Deposited: 05 Dec 2014 07:50
Last Modified: 05 Feb 2018 03:13
URI: http://umpir.ump.edu.my/id/eprint/7569
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