Bayliss J D, Ballard D H
Department of Computer Science, University of Rochester, NY 14627, USA.
IEEE Trans Rehabil Eng. 2000 Jun;8(2):188-90. doi: 10.1109/86.847811.
Virtual reality promises to extend the realm of possible brain-computer interface (BCI) prototypes. Most of the work using electroencephalograph (EEG) signals in VR has focussed on brain-body actuated control, where biological signals from the body as well as the brain are used. We show that when subjects are allowed to move and act normally in an immersive virtual environment, cognitive evoked potential signals can still be obtained and used reliably. A single trial accuracy average of 85% for recognizing the differences between evoked potentials at red and yellow stop lights will be presented and future directions discussed.
虚拟现实有望拓展脑机接口（BCI）原型的可能范围。大多数在虚拟现实中使用脑电图（EEG）信号的工作都集中在脑体驱动控制上，即同时使用来自身体和大脑的生物信号。我们表明，当受试者在沉浸式虚拟环境中能够正常移动和行动时，仍然可以可靠地获取和使用认知诱发电位信号。将展示识别红色和黄色停车灯诱发电位差异的单次试验平均准确率达85%，并讨论未来的发展方向。
