Interpretation of Human Thought using EEG Signals and LabVIEW

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 envi...

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Main Authors:	Norizam, Sulaiman, Cheng, Chee Hau, Amran, Abdul Hadi, Mahfuzah, Mustafa, M. S., Jadin
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7569/ http://umpir.ump.edu.my/id/eprint/7569/ http://umpir.ump.edu.my/id/eprint/7569/1/PID3459027.pdf

id	ump-7569
recordtype	eprints
spelling	ump-75692018-02-05T03:13:18Z http://umpir.ump.edu.my/id/eprint/7569/ Interpretation of Human Thought using EEG Signals and LabVIEW Norizam, Sulaiman Cheng, Chee Hau Amran, Abdul Hadi Mahfuzah, Mustafa M. S., Jadin TK Electrical engineering. Electronics Nuclear engineering 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. 2014-11-28 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7569/1/PID3459027.pdf 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.. http://dx.doi.org/10.1109/ICCSCE.2014.7072749
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Norizam, Sulaiman Cheng, Chee Hau Amran, Abdul Hadi Mahfuzah, Mustafa M. S., Jadin Interpretation of Human Thought using EEG Signals and LabVIEW
description	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.
format	Conference or Workshop Item
author	Norizam, Sulaiman Cheng, Chee Hau Amran, Abdul Hadi Mahfuzah, Mustafa M. S., Jadin
author_facet	Norizam, Sulaiman Cheng, Chee Hau Amran, Abdul Hadi Mahfuzah, Mustafa M. S., Jadin
author_sort	Norizam, Sulaiman
title	Interpretation of Human Thought using EEG Signals and LabVIEW
title_short	Interpretation of Human Thought using EEG Signals and LabVIEW
title_full	Interpretation of Human Thought using EEG Signals and LabVIEW
title_fullStr	Interpretation of Human Thought using EEG Signals and LabVIEW
title_full_unstemmed	Interpretation of Human Thought using EEG Signals and LabVIEW
title_sort	interpretation of human thought using eeg signals and labview
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7569/ http://umpir.ump.edu.my/id/eprint/7569/ http://umpir.ump.edu.my/id/eprint/7569/1/PID3459027.pdf
first_indexed	2023-09-18T22:04:17Z
last_indexed	2023-09-18T22:04:17Z
_version_	1777414604570230784

Interpretation of Human Thought using EEG Signals and LabVIEW

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