EEG Controlled Wheelchair

Sim, Kok Swee and Kho, Desmond Teck Kiang and Lim, Zheng You (2016) EEG Controlled Wheelchair. In: 2016 International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2016). EDP Sciences, 02011-1-02011-9.

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Official URL: http://doi.org/10.1051/matecconf/20165102011

Abstract

This paper describes the development of a brainwave controlled wheelchair. The main objective of this project is to construct a wheelchair which can be directly controlled by the brain without requires any physical feedback as controlling input from the user. The method employed in this project is the Brain-computer Interface (BCI), which enables direct communication between the brain and the electrical wheelchair. The best method for recording the brain’s activity is electroencephalogram (EEG). EEG signal is also known as brainwaves signal. The device that used for capturing the EEG signal is the Emotiv EPOC headset. This headset is able to transmit the EEG signal wirelessly via Bluetooth to the PC (personal computer). By using the PC software, the EEG signals are processed and converted into mental command. According to the mental command (e.g. forward, left...) obtained, the output electrical signal is sent out to the electrical wheelchair to perform the desired movement. Thus, in this project, a computer software is developed for translating the EEG signal into mental commands and transmitting out the controlling signal wirelessly to the electrical wheelchair.

Item Type: Book Section
Additional Information: Chapter 2: Design and Development of Engineering Devices
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 17 Feb 2017 01:45
Last Modified: 17 Feb 2017 01:45
URI: http://shdl.mmu.edu.my/id/eprint/6444

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