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Electrical Appliance Switching Controller by Brain Wave Spectrum Evaluation Using a Wireless EEG Headset
Author(s) -
Abd Gani S. F.,
M. F. Miskon,
Raseeda Hamzah,
A. Aziz K. A.,
Kadmin A. F,
Auzani Jidin,
Md Basar M. F,
M. Kamalrudin,
A. Razak E. N. S,
Md Ali Shah M. A. S
Publication year - 2021
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae1021_14
Subject(s) - headset , bluetooth , microcontroller , electroencephalography , wireless , relay , computer science , computer hardware , controller (irrigation) , brain waves , arduino , signal (programming language) , power (physics) , electrical engineering , embedded system , engineering , telecommunications , psychology , neuroscience , programming language , physics , quantum mechanics , agronomy , biology
Disabled people are usually unable to interact with their surroundings efficiently, and performing tasks like switching an appliance on or off can be troublesome if the user is bedridden, for example. This article discusses an electrical appliance switching controller using a wireless EEG headset that is aimed to aid elderly people and the disabled. The system comprises of a MindLink EEG headset that is Bluetooth-connected to an Arduino microcontroller board. The system permits the user to separately switch on and off the 4 electrical devices connected to the power socket. The EEG signal is obtained to investigate the brain activity throughout the experiments done. Based on the brain wave signals read, attention and meditation are determined to be the most suitable for this project and is used to trigger the relay switching of the power socket. It is found that the response time to trigger the switching is slow as some users require practice or training to control their brain wave signals effectively. The work performed provides a rudimentary insight of a BCI system functionalities and presents a brainwave-controlled hardware switching for the bedridden or disabled patients.

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