Abstract
BCI (Brain Computer Interface) attracts an attention as a method of non-verbal and non-motional communication. Brain waves can be measured easily, furthermore, the system requires no expensive devices.In this research, we focus on “µ wave”. µ waves is a type of EEG. It is used to detected as kinetogenic brain activity to bring about exercise. However, its components is instable.It gives a bad influence to the activity detection from EEG. In previous studies, this problem solved by Signal processing techniques. The systems required to have the sufficient processing performance.So we proposed and developed a novel system composed by electronic circuit with feedback which adjusts the measurement condition automatically, especially frequency band width. As a first step of the evaluation, we triedto extract the optimum signal from EEG with kinetogenic brain activity. The result show that the system operated correctly but Stability of the signal is not enough. For the next step, we adjust and improve the system parameter of the ability for µ waves extraction.
