Analysis of Brain Information Components and Its Transmission to Humanoids

该补助金被应用于统一的人类运动，动画，并通过计算机网络的人形。将大脑信号注入人形机器人是另一个目标。获得了以下结果。（1）本研究小组能够找到在网络环境下将人体运动、卡通人物和人形机器人统一起来的方法。所设计的系统包括人体运动的识别。该系统在语言层次上找到人体运动的抽象表达。2004年，APNNA最佳应用导向研究论文奖授予了该方法的研究论文。（2）由于对语言水平的抽象，人体运动可以作为命令传输给不同的类人机器人和其他机器人。换句话说，获得了类人机器之间的机器独立性。(3)It目前还不可能从大脑信号中获得粒度命令，因为当代技术的分辨率仍然很低。但是，这项研究发现，（2）的抽象命令可以与来自大脑的紧急信号相结合。这种方法被认为是有用的。（4）对于脑活动状态的估计方法，本文发展了f-ICA方法，其中包括传统伊卡方法作为特例。新方法适用于广泛的信息源，而不仅限于大脑信号。这些目标包括数字图像和DNA片段，并获得了成功的结果。

This grant was applied to the unification of the human movement, the animation, and the humanoid over the computer network. The injection of the brain signal to the humanoid is another objective. The following results were obtained.(1)This research group was able to find the method to unify the human body motion, the cartoon character and the humanoid over the network environment. The designed system includes the recognition of human body motions. The system finds the body motion's abstract expression in a language level. The APNNA Best Paper Award for Application Oriented Research was given in 2004 to the research paper on this method,(2)Because of the abstraction to the language level, the human body motion can be transmitted and used as a command to different humanoids and other robots. In other words, the machine independence between humanoids was obtained.(3)It is not yet possible to obtain granular commands from brain signals because the resolution is still low by the contemporary technology. But, this study found that the abstract commands of (2)can be combined with the overwriting urgent signal from the brain. This method was found useful.(4)For the estimation method of active states of the brain, this study developed the f-ICA which includes the conventional ICA method as a special case. The new method is applicable to a wide class of information sources ; not limited to the brain signal. These targets include digital images and DNA segments, for which successful results were obtained.