Design and Implementation of effective Brain-wave Data Base(DB) building system using the five senses

Ubiquitous systems have grown explosively over the past few years. Nowadays users´ need for high quality service leads to a variety of types of user terminals. As a result of these changes, various types of effective human computer interface methods have been developed. In many studies, researchers have focused on using brain-wave interface, that is to say, brain computer interaction (BCI). BCI is one of the research areas in human computer interaction (HCI). Nowadays, research which is related to BCI is under way to find out effective methods. But, most research related to BCI is not centralized and not systematic. These problems bring about ineffective results in research. In most research related to HCI and BCI, that is to say -pattern recognition, the most important foundation of the research is to build correct and sufficient database (DB). On this score, in this paper, we propose an effective brain wave DB building system for BCI. Apart from other kinds of pattern recognition, BCI has difficulties being stored in DB. Subjects as well as researchers do not know effective methods for gathering DB. Researchers do not know how to instruct subjects and subjects also do not know how to follow researchers´ instruction. To solve these kinds of problems, we propose a novel architecture of DB building system using the five senses. Researcher instructs the subject to use the five senses. Subjects imagine the instructed senses. In real time, researches verify gathered brain wave data using spectrogram. To verify effectiveness of our proposed system, we analyze the spectrogram of gathered brain wave DB and pattern. On the basis of spectrogram and pattern analysis, we propose an effective brain wave DB building method using the five senses.