A simple platform of brain-controlled mobile robot and its implementation by SSVEP
A simple platform of brain-controlled mobile robot and its implementation by SSVEP
复制标题
DOI：
10.1109/ijcnn.2012.6252579
复制
发表时间：
2012-06
期刊：
影响因子：
--
通讯作者：
Cheng Zhang;Yosuke Kimura;Hiroshi Higashi;Toshihisa Tanaka
中科院分区：
文献类型：
--
作者：
Cheng Zhang;Yosuke Kimura;Hiroshi Higashi;Toshihisa Tanaka
脑机接口（BCI）是一种新兴的技术，可以将非侵入性测量的大脑信号转换为命令，提供额外的通信通道。本文开发了一个BCI平台，通过Internet远程控制移动的机器人。该平台由用于EEG信号采集和信号处理/分类的服务器计算机和携带Android智能手机的蓝牙控制机器人组成。智能手机可以通过互联网向具有手机摄像头的用户提供视觉反馈。Android智能手机将命令从服务器传输到机器人，并将视频流传输到服务器，以反馈给用户。它也被证明是采用稳态视觉诱发电位（SSVEP）分类命令。我们提出了一种方法，用于检测空闲状态时，用户不凝视任何视觉刺激。
Brain-computer interfacing (BCI) is an emerging technology to translate non-invasively measured brain signals into commands, providing an additional communication channel. This paper develops a BCI platform to remotely control a mobile robot through the Internet. The platform consists of a server computer for EEG signal acquisition and signal processing/classification and a bluetooth controlled robot carrying an Android smartphone. The smartphone can give a visual feedback via the Internet to the user with its phone camera. The Android smartphone transfers the command from the server to the robot and transmits video stream to the server for the feedback to the user. It is also shown to employ the steady state visual evoked potentials (SSVEP) to classify commands. We propose a method for detecting the idle state when a user does not gaze any visual stimuli.