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

在本研究中，我们开发了一种基于混沌分维分析的情绪测量系统，在实际应用中，情绪分维分析方法通过对脑电图仪(EEG)的特征进行分维分析，最终可能对人类的情绪(即感性思维)进行评估。众所周知，与愤怒、喜悦、放松和悲伤等基本情感相比，这种方法可能对更高层次的情感没有足够的认识。人类情感的量化评价是21世纪生产与人类情感相联系的产品的必然要求。因此，在本研究中，我们试图开发一种测量人类情绪的系统，并阐明相应的信息处理机制。此外，我们还研究了一个应用于人机界面的具有脑电信号键盘功能的分形维分析方法。在实践中，我们在屏幕上显示了六个物体，并检查了受试者是否能从脑电的时空行为中识别出预期的物体。实验结果表明，识别率达到80%左右。因此，可以预期本技术可能适用于EEG键盘。此外，我们还成功地建立了一种基于近红外光谱(NIRS)代替脑电来测量人类情绪的方法。因此，作为一个未来的问题，将这两种方法结合起来进一步提高识别率似乎是值得的。

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.