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

它是近年来备受关注的一门科学。我们可以很容易地了解其他牧师的脸。然而，计算机不能轻易地识别人脸。我们人类有一个标准来识别别人的脸。但其标准不明确，且具有模糊性。我们必须认识到什么是善，并有一个标准来理解善的程度。理解计算机的复杂性程度是计算机与人相互理解的第一步。因此，在本研究中，被试的脑电，这是一种生理信息，被测量时，被试正在看的字符模式，一个清晰度逐渐增加。电极C3上的EEG信号的δ波功率已经改变。我们可以测量脑电信号在模糊心理状态和确定心理状态之间的变化。脑电信号的变化反映了大脑活动的变化。这表明我们可以从生理信号的变化中获得一些信息。在本研究中，FFT分析和小波分析。小波分析的结果给我们提供了一个更好的区分。最后，本研究还留下了一个问题，即什么是“和谐”，和谐的程度是多少。

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.