Identification of Human's will based on EEG Signals, and Application to Man-machine Interface

本课题研究了与运动和识别相关的脑电信号的识别方法，目的是从脑电信号中识别出人的意志，并应用于人机接口中。1.运动相关脑电信号的变化检测方法有直接信息分析法、基于AR模型或准AR模型的统计模式识别法等。分析了右、左手想象时记录的2ch C3、C4脑电波。以下事实得到证实。对有一定学习能力的被试，脑电波形的判别准确率可达85%以上。C3和C4之间的信息流根据想象的手（右手或左手）而存在偏差。当常规方法不能获得较高的判别精度时，可采用聚类技术和拟AR模型相结合的方法来提高判别精度。2.视觉刺激和听觉刺激下的脑电波识别分析了视觉刺激和听觉刺激下的脑电波响应，从人机界面中的脑电波中检测出与受试者意志相违背的故障。3.人机接口应用研究基于脑电信号信息，设计了一个操作SONY公司生产的AIBO的系统，并对系统的最佳参数如处理数据长度、操作指令间隔等进行了研究。对健康人进行了实验，并对实际应用中存在的问题进行了探讨。

In this research project, the identification methods of electroencephalogram (EEG) signals related to the movement and recognition were studied in order to identify human's will from the EEG, and to apply to the man-machine interface. And the following results were obtained.1.Change detection of EEG wave related to movementSome kinds of method (Direct information analysis, Statistical pattern recognition based on AR model or Quasi-AR model etc.) were tried to analyze the EEG waves (2ch:C3, C4) recorded during right and left hand imagery. And the following facts were confirmed. The EEG wave can be discriminated with the accuracy of 85% or more for the subjects who learned enough. The information flow between C3 and C4 has bias according to the imagined hand (right or left). The discrimination accuracy can be improved by using the clustering technique together or applying the Quasi-AR model when high accuracy is not obtained by the usual method. The subjects can adapt up to a point of the system composed of parameters based on other subject.2.Identification of EEG wave under the visual stimulus or auditory stimulusThe response EEG wave related to the visual stimulus and the auditory stimulus was analyzed in order to detect the malfunction in contradiction to subjects will from the EEG wave in the man-machine interface. And it was confirmed that there may be some features in frequency shift, and in a temporal response of the electrode position with high EEG amplitude.3.Application to man-machine interfaceThe system that operated AIBO (made by SONY) based on information from the EEG wave was made, and the optimal parameter such as processing data lengths and operation instruction intervals was examined. The experiments to healthy persons are performed, and the problem on practical use was examined.