Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset

Brain-computer interface (BCI) is a fast-growing technology involving hardware and software communication systems that allow controlling external assistive devices through Electroencephalogram (EEG). The primary goal of BCI technology is to ensure a potential communication pathway for patients with...

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Main Authors: Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Sabira, Khatun, Bari, Bifta Sama, Hasan, Md Jahid, Al-Fakih, Nawfan M. M. A.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27515/
http://umpir.ump.edu.my/id/eprint/27515/1/Investigating%20the%20Possibility%20of%20Brain%20Actuated%20Mobile1.pdf
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author Rashid, Mamunur
Norizam, Sulaiman
Mahfuzah, Mustafa
Sabira, Khatun
Bari, Bifta Sama
Hasan, Md Jahid
Al-Fakih, Nawfan M. M. A.
author_facet Rashid, Mamunur
Norizam, Sulaiman
Mahfuzah, Mustafa
Sabira, Khatun
Bari, Bifta Sama
Hasan, Md Jahid
Al-Fakih, Nawfan M. M. A.
author_sort Rashid, Mamunur
building UMP Institutional Repository
collection Online Access
description Brain-computer interface (BCI) is a fast-growing technology involving hardware and software communication systems that allow controlling external assistive devices through Electroencephalogram (EEG). The primary goal of BCI technology is to ensure a potential communication pathway for patients with severe neurologic disabilities. A variety of BCI applications have been presented in the last few decades which indicate that the interest in this field has dramatically increased. In this paper, the possibility of a brain-actuated mobile robot using single-channel EEG headset has been investigated. EEG data has been collected from Neurosky Mindwave EEG headset which consists of a single electrode. EEG feature in terms of power spectral density (PSD) has been extracted and classified this feature using the support vector machine (SVM). Then the classified signal has been translated into three devices command to control the mobile robot. This mobile robot can be driven in three directions namely forward, right and left direction. Data collection from EEG headset and sending commands to a mobile robot, the entire process has been done wirelessly.
first_indexed 2025-11-15T02:47:16Z
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:47:16Z
publishDate 2019
recordtype eprints
repository_type Digital Repository
spelling ump-275152020-01-17T08:48:43Z http://umpir.ump.edu.my/id/eprint/27515/ Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset Rashid, Mamunur Norizam, Sulaiman Mahfuzah, Mustafa Sabira, Khatun Bari, Bifta Sama Hasan, Md Jahid Al-Fakih, Nawfan M. M. A. TK Electrical engineering. Electronics Nuclear engineering Brain-computer interface (BCI) is a fast-growing technology involving hardware and software communication systems that allow controlling external assistive devices through Electroencephalogram (EEG). The primary goal of BCI technology is to ensure a potential communication pathway for patients with severe neurologic disabilities. A variety of BCI applications have been presented in the last few decades which indicate that the interest in this field has dramatically increased. In this paper, the possibility of a brain-actuated mobile robot using single-channel EEG headset has been investigated. EEG data has been collected from Neurosky Mindwave EEG headset which consists of a single electrode. EEG feature in terms of power spectral density (PSD) has been extracted and classified this feature using the support vector machine (SVM). Then the classified signal has been translated into three devices command to control the mobile robot. This mobile robot can be driven in three directions namely forward, right and left direction. Data collection from EEG headset and sending commands to a mobile robot, the entire process has been done wirelessly. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27515/1/Investigating%20the%20Possibility%20of%20Brain%20Actuated%20Mobile1.pdf Rashid, Mamunur and Norizam, Sulaiman and Mahfuzah, Mustafa and Sabira, Khatun and Bari, Bifta Sama and Hasan, Md Jahid and Al-Fakih, Nawfan M. M. A. (2019) Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset. In: 5th International Conference On Electrical, Control And Computer Engineering (INECCE2019) , 29-30 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-14.. (Published)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rashid, Mamunur
Norizam, Sulaiman
Mahfuzah, Mustafa
Sabira, Khatun
Bari, Bifta Sama
Hasan, Md Jahid
Al-Fakih, Nawfan M. M. A.
Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title_full Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title_fullStr Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title_full_unstemmed Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title_short Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset
title_sort investigating the possibility of brain actuated mobile robot through single channel eeg headset
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/27515/
http://umpir.ump.edu.my/id/eprint/27515/1/Investigating%20the%20Possibility%20of%20Brain%20Actuated%20Mobile1.pdf