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http://dx.doi.org/10.5369/JSST.2016.25.4.257

Motor Imagery based Application Control using 2 Channel EEG Sensor  

Lee, Hyeon-Seok (Department of Electronic Engineering, Pukyong National Unversity)
Jiang, Yubing (Department of Electronic Engineering, Pukyong National Unversity)
Chung, Wan-Young (Department of Electronic Engineering, Pukyong National Unversity)
Publication Information
Journal of Sensor Science and Technology / v.25, no.4, 2016 , pp. 257-263 More about this Journal
Abstract
Among several technologies related to human brain, Brain Computer Interface (BCI) system is one of the most notable technologies recently. Conventional BCI for direct communication between human brain and machine are discomfort because normally electroencephalograghy(EEG) signal is measured by using multichannel EEG sensor. In this study, we propose 2-channel EEG sensor-based application control system which is more convenience and low complexity to wear to get EEG signal. EEG sensor module and system algorithm used in this study are developed and designed and one of the BCI methods, Motor Imagery (MI) is implemented in the system. Experiments are consisted of accuracy measurement of MI classification and driving control test. The results show that our simple wearable system has comparable performance with studies using multi-channel EEG sensor-based system, even better performance than other studies.
Keywords
EEG; Motor Imagery; BCIs; 2 channel EEG sensor;
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