Evaluation of the preference by the EEG

在本项目中，我们构建了超紧凑型脑电测量仪，并提出了感官评价方法。第一年，我们搭建了脑电测量仪。在脑电中，有很多噪音。这是一个严重的问题。然后提出了利用SIMPLE-FLDA分离脑电信号和噪声的方法。此外，还可以得到脑电测量点的重要性。通过使用超紧凑型脑电系统，我们可以获得食欲(或欲望)，例如他/她想要上厕所。他们想吃点东西。然而，在这一年里，我们无法决定哪些乐队对他们的胃口来说是重要的。在下一年，我们可以得到频率的组合(即14赫兹和21赫兹对听音乐很重要)。这些组合是通过使用遗传算法来找出的。通过实验结果，我们可以看出频率的结合对于未来的轮椅脑电信号控制器项目的重要性。

In this project, we construct the super-compact EEG measurement instrument and proposed the sensory evaluation method. The first year, we construct the EEG measurement instrument. In the EEG, there are a lot of noises. It is the serious problem. Then we proposed the separation method for EEG and noises by using the Simple-FLDA. Furthermore, we can get the importance of EEG measurement points. By using the super compact EEG system, we can get the appetite (or desire), e.g. He/ She want to go toilet. They want to something to eat. However in this year we can not decide which bands are important for their appetite. In the next year, we can obtain the combination of the frequency (i.e., 14Hz and 21Hz are important for the listening to music.) These combinations are found out by using the GA. By the results, we can figure on the importance of the combination the frequencies for the future project as an EEG controller for wheelchair.