A brain-computer interface (BCI) is a communication system that can help users interact with the outside\r\nenvironment by translating brain signals into machine commands. The use of electroencephalographic (EEG)\r\nsignals has become the most common approach for a BCI because of their usability and strong reliability. Many\r\nEEG-based BCI devices have been developed with traditional wet- or micro-electro-mechanical-system (MEMS)-type\r\nEEG sensors. However, those traditional sensors have uncomfortable disadvantage and require conductive gel and\r\nskin preparation on the part of the user. Therefore, acquiring the EEG signals in a comfortable and convenient\r\nmanner is an important factor that should be incorporated into a novel BCI device. In the present study, a\r\nwearable, wireless and portable EEG-based BCI device with dry foam-based EEG sensors was developed and was\r\ndemonstrated using a gaming control application. The dry EEG sensors operated without conductive gel; however,\r\nthey were able to provide good conductivity and were able to acquire EEG signals effectively by adapting to\r\nirregular skin surfaces and by maintaining proper skin-sensor impedance on the forehead site. We have also\r\ndemonstrated a real-time cognitive stage detection application of gaming control using the proposed portable\r\ndevice. The results of the present study indicate that using this portable EEG-based BCI device to conveniently and\r\neffectively control the outside world provides an approach for researching rehabilitation engineering.
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