On the Development of Measurement and Emotion Information Processing Systems based on Chaosand Fractal Properties

本研究开发了一个基于混沌分形分析的情绪测量系统，在实践中，通过对脑电信号进行分形维数分析，提取脑电信号的特征，提出了一种情绪分形维数分析方法，最终可以对人的情绪（感性）进行评价。众所周知，这种方法可能无法获得比基本情绪（如愤怒，喜悦，放松和悲伤）更高阶的情绪识别。21^世纪要实现与人类情感相关的产品生产，就需要对人类情感进行定量评价<st>。因此，在本研究中，我们试图开发一个系统来测量人类的情绪，并阐明相应的信息处理机制，此外，我们还研究了一个应用程序的人机接口功能，如脑电键盘的分形维数分析方法。在实践中，我们在屏幕上显示六个对象，并检查受试者是否可以从EEG的时空行为中识别出预期的对象。实验结果表明，该方法的识别率可达80%以上.因此，可以预期本技术可以适用于EEG键盘。此外，我们还成功地建立了一种基于近红外光谱（NIRS）代替脑电信号的人类情绪测量方法。因此，作为一个未来的问题，似乎是值得联合收割机这两种方法，以进一步提高识别率。

In this research, we have developed an emotion measurement system based on chaos fractal analyses.In practice the emotion fractal dimension analysis method which may eventually evaluate the human emotion, i.e. Kansei, by means of extracting the features of electroencephalograph (EEG) with Fractal dimension Analysis. It has been well know that this method may not attain enough recognition of higher order emotion than the fundamental emotions such as anger, joy, relaxation and sadness. Evaluation of human emotion quantitatively is required to realize to produce manufactures in connection with the human emotion in the 21^<st> century. Therefore, in this research, we have attempted to develop the system to measure the human emotions as well as to clarify the corresponding information processing mechanism.In addition, we have examined an application to human interface to have a function such as EEG keyboard with Fractal-dimension Analysis Method. In practice we displayed six objects on the screen and examined whether a subject could recognize an intended object from the spatio-temporal behavior of EEG. As a result, it was found that the recognition rate was attained up to 〜80%. Therefore, one may expect that the present technology may be applicable to an EEG keyboard. Furthermore, we have succeeded to establish a method to measure the human emotion based on the near-infrared spectroscopy (NIRS) in stead of EEG. Therefore, as a future problem, it seems to be worthwhile to combine these two methods to improve the recognition rate further.