Volume 9 Number 9 (Sep. 2014)
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JCP 2014 Vol.9(9): 2159-2166 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2159-2166

EEG-based Brain-computer Interface for Automating Home Appliances

Abdel Ilah N. Alshbatat1, Peter J. Vial2, Prashan Premaratne2, Le C. Tran2
1Tafila Technical University, Tafila, Jordan
2University of Wollongong, Wollongong, Australia

Abstract—An EEG-based brain-computer system for automating home appliances is proposed in this study. Brain-computer interface (BCI) system provides direct pathway between human brain and external computing resources or external devices. The system translates thought into action without using muscles through a number of electrodes attached to the user’s scalp. The BCI technology can be used by disabled people to improve their independence and maximize their capabilities at home. In this paper, a novel BCI system was developed to control home appliances from a dedicated Graphical User Interface (GUI). The system is structured with six units: EMOTIV EPOC headset, personal computer, Flyport module, quad band GSM/GPRS communication module, LinkSprite JPEG Colour camera, and PIC-P40 board. EMOTIV EPOC headset detects and records neuronal electrical activities that reflect user’s intent from different locations on the scalp. Those activities are then sent to the computer to extract specific signal features. Those features are then translated into commands to operate all appliances at home. The proposed system has been implemented, constructed, and tested. Experimental results demonstrates the feasibility of our proposed BCI system in controlling home appliances based on the user’s physiological states.

Index Terms—Brain-Computer Interface (BCI), Electroencephalogram (EEG), EMOTIV EPOC Neuroheadset, Signal Processing

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Cite: Abdel Ilah N. Alshbatat, Peter J. Vial, Prashan Premaratne, Le C. Tran, "EEG-based Brain-computer Interface for Automating Home Appliances," Journal of Computers vol. 9, no. 9, pp. 2159-2166, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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