2채널 EEG센서를 활용한 운동 심상기반의 어플리케이션 컨트롤
Motor Imagery based Application Control using 2 Channel EEG Sensor
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초록
Among several technologies related to human brain, Brain Computer Interface (BCI) system is one of the most notable technologiesrecently. Conventional BCI for direct communication between human brain and machine are discomfort because normally elec-troencephalograghy(EEG) signal is measured by using multichannel EEG sensor. In this study, we propose 2-channel EEG sensor-basedapplication control system which is more convenience and low complexity to wear to get EEG signal. EEG sensor module and systemalgorithm used in this study are developed and designed and one of the BCI methods, Motor Imagery (MI) is implemented in the sys-tem. Experiments are consisted of accuracy measurement of MI classification and driving control test. The results show that our simplewearable system has comparable performance with studies using multi-channel EEG sensor-based system, even better performance thanother studies.
Abstract
Among several technologies related to human brain, Brain Computer Interface (BCI) system is one of the most notable technologiesrecently. Conventional BCI for direct communication between human brain and machine are discomfort because normally elec-troencephalograghy(EEG) signal is measured by using multichannel EEG sensor. In this study, we propose 2-channel EEG sensor-basedapplication control system which is more convenience and low complexity to wear to get EEG signal. EEG sensor module and systemalgorithm used in this study are developed and designed and one of the BCI methods, Motor Imagery (MI) is implemented in the sys-tem. Experiments are consisted of accuracy measurement of MI classification and driving control test. The results show that our simplewearable system has comparable performance with studies using multi-channel EEG sensor-based system, even better performance thanother studies.
참고문헌 (13)
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