Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria

This project of Automatic Detection of Motor Imagery Movements for Neuro Based Home Appliances System aims to design a protocol of recording EEG signals for controlling electronic devices using brain activities and to detect motor imagery movement from EEG signals automatically. For the motor imager...

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Main Author: Zakaria, Mohd Hilmi Firdaus
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/80290/1/80290.pdf
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spelling my-uitm-ir.802902023-09-20T02:36:43Z Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria 2010 Zakaria, Mohd Hilmi Firdaus This project of Automatic Detection of Motor Imagery Movements for Neuro Based Home Appliances System aims to design a protocol of recording EEG signals for controlling electronic devices using brain activities and to detect motor imagery movement from EEG signals automatically. For the motor imagery movement detection, 2 different protocol was design for both real and imagery grasping hand movement. EEG signals will be recorded by placing the electrodes at C3 and C4 using the 10 - 20 international system. The raw EEG data from the Open BCI will be extracted and it will be filtered and transform to Fast Fourier transform for further analysis in time-domain and spectrogram. From the analysis, the threshold was set at both real-time data and spectrogram for automatic detection of motor imagery movement that can be apply on neuro-based home appliances system. 2010 Thesis https://ir.uitm.edu.my/id/eprint/80290/ https://ir.uitm.edu.my/id/eprint/80290/1/80290.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mansor, Wahidah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mansor, Wahidah
description This project of Automatic Detection of Motor Imagery Movements for Neuro Based Home Appliances System aims to design a protocol of recording EEG signals for controlling electronic devices using brain activities and to detect motor imagery movement from EEG signals automatically. For the motor imagery movement detection, 2 different protocol was design for both real and imagery grasping hand movement. EEG signals will be recorded by placing the electrodes at C3 and C4 using the 10 - 20 international system. The raw EEG data from the Open BCI will be extracted and it will be filtered and transform to Fast Fourier transform for further analysis in time-domain and spectrogram. From the analysis, the threshold was set at both real-time data and spectrogram for automatic detection of motor imagery movement that can be apply on neuro-based home appliances system.
format Thesis
qualification_level Bachelor degree
author Zakaria, Mohd Hilmi Firdaus
spellingShingle Zakaria, Mohd Hilmi Firdaus
Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
author_facet Zakaria, Mohd Hilmi Firdaus
author_sort Zakaria, Mohd Hilmi Firdaus
title Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
title_short Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
title_full Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
title_fullStr Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
title_full_unstemmed Automatic detection of motor imagery movement for neuro-based home appliances system / Mohd Hilmi Firdaus Zakaria
title_sort automatic detection of motor imagery movement for neuro-based home appliances system / mohd hilmi firdaus zakaria
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/80290/1/80290.pdf
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