Shimpo Keita, Tanaka Toshihisa
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:4251-4. doi: 10.1109/EMBC.2013.6610484.
A brain-computer interface (BCI) is a technique for controlling devices with the measured human brain activities. Especially, an asynchronous BCI is one of the most important topics since practical input interfaces are incomplete without self-paced inputs. In order to construct an asynchronous BCI, it is essential to recognize the standby state, where a user enters no commands. In this paper, we propose a novel method for detecting the standby state and develop an asynchronous BCI based on event-related potentials with the intended movement direction.We conducted online experiments with developed asynchronous BCI. As a result, all three subjects showed considerable recognition accuracies.
脑机接口（BCI）是一种利用测量到的人类大脑活动来控制设备的技术。特别是，异步BCI是最重要的主题之一，因为没有自定节奏的输入，实际的输入接口是不完整的。为了构建异步BCI，识别用户不输入命令的待机状态至关重要。在本文中，我们提出了一种检测待机状态的新方法，并基于与预期运动方向相关的事件相关电位开发了一种异步BCI。我们使用开发的异步BCI进行了在线实验。结果，所有三名受试者都表现出了相当高的识别准确率。
