Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Motor Imagery based Application Control using 2 Channel EEG Sensor

2채널 EEG센서를 활용한 운동 심상기반의 어플리케이션 컨트롤

  • 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)
  • Received : 2016.01.19
  • Accepted : 2016.07.25
  • Published : 2016.07.31
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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.

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References

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