Study of a Computer interface using EED and Voice for Sight Inabillities

为了使视障人士使用脑电图和语音或声音的接口实际使用，重要的是要考虑设备的便携性和可用性。在本研究中，我们利用双极感应式脑电传感器测量了兴趣和意图在脑电图上的表现，并估计了声音驱动下小鼠控制的效率。得出了以下有益的结论：课堂上的学生对讲课内容很感兴趣，当他们的脑电图较好时，他们往往能很好地理解讲课内容。β波脑电图对外界刺激反应迅速，因此显示出作为界面介质的高可能性。辅助点指的声音应该是合成的声音，声音要短，便于识别。在实验中，所有的测试者都在三次训练中掌握了窍门，并证明了作为鼠标控制助手的效率。在使用摇杆控制的游戏玩家的脑电图上，控制位置和β波出现的位置有很高的概率对应。通过样条小波分析，证明15Hz的β波含量几乎超过30Hz。

To make a practical use of the interface for sight inalbilities using eeg and voice or sound, it is important to consider the portability and usability of device. In this study, we conducted some experiments to measure the appearance of interest and intention on eeg using bi-polar inducing type eeg sensor and to estimate the efficiency of mouse control driven by sound. Following useful conclusions were drawn:1. Students in the class are interested in the content of lectures and tend to understand well when their beta wave eeg are superior. The beta wave eeg respond promptly to outer stimulus, then it shows a high possibility as a media of interface.2. The sound as a helper of pointing device should be a synthetic sound and be short, because of easy recognition. In the experiment using double size icons located on a matrix, all testes got the knack within three session of training, and efficiency as a mouse control helper was certified.3. On the eeg of game players using a joy-stick control, the control position and the position of beta wave appearance corresponds at a high probability. By the analysis using a spline-wavelet, it is certified that 15Hz beta wave content almost exceeds 30Hz.