Evaluation of physiological information in states of vague mentality conditions and vague recognition conditions

近年来，人们开始关注一门关于模糊的科学。我们很容易理解别人的脸。然而，计算机不能很容易地识别人脸。我们人类有一个标准来识别别人的脸。但它的标准并不明确，而且模棱两可。我们必须认识到什么是模糊，并有一个标准来理解某种程度的模糊。理解一定程度的模糊性是计算机与人类相互理解的第一步。因此，在本研究中，被试的脑电图是一种生理信息，是在被试看模糊度逐渐增加的性格模式时测量的。脑电信号在C3电极上的δ波功率发生了变化。我们可以测量脑电信号在模糊状态和明确状态下的变化。脑电图信号的变化反映了大脑活动的变化。这说明我们可以从生理信号的变化中得到一些信息。本研究采用FFT分析和小波分析。小波分析的结果给了我们更好的判别。最后，本研究留下了一个问题，即什么是模糊，什么是模糊程度。

It pays attention to a science of vagueness recently. We can easily understand other parson's face. However a computer can not easily recognize a face of human being. We human being have a standard to recognize other person's face. But its standard is not clearly and it is ambiguous. We must recognize what is vagueness and have a standard to understand a degree of vagueness. An understanding a degree of vagueness is a first step for a mutual understanding between computer and human being. So in this study, EEG of a subject, it is a kind of physiological information, was measured when the subject was looking character patterns which a vagueness gradually increasing. The delta wave power of EEG signal on the electrode C3 has changed. We could measure the change of EEG signal between in an ambiguous mind state and a definite mind state. The change of EEG signal reflects the change of the brain activity. So it is showing that we can get some information from the change of the physiological signal. In this study, FFT analysis and Wavelet analysis were used. The results getting from wavelet analysis has given us a better discrimination. Finally this study has left a problem what was the vagueness and what was the degree of the vagueness.