Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Brain-computer interface based camera carrier in aerospace

作者:Genghuang Yang, Li Zhao, Shigang Cui, Yuliang Liu, Longteng Xiao, Xuelian Xu · 年份:2009 · DOI:10.1109/ical.2009.5262651 · 被引用次数:7 · 研究领域:EEG and Brain-Computer Interfaces、Neuroscience and Neural Engineering、Neural dynamics and brain function

An on-line BCI system is designed to control self-designed robot for photo-taking. The simulated experiment of BCI's application outside space-ship in aerospace is included in this paper. The P300-based BCI system includes three modules: visual stimulus, EEG sampling and signal processing, external robot controlling. A robot acts as the carrier for the camera. The robot is developed with the ability of six-direction-free moving and simple two-direction operation. The robot can move forward and backward, go up and down, turn to left and right. Also the robot can grasp and release a shuttle of a camera. In the experiment, the subject chooses the right oddball on a CRT/LCD displayer with eight blocks which are corresponding to the directions and operations, and gazes at it. The EEG is sampled by a DSP-based device to extract the P300 characteristic. The robot is controlled to move or operate by the subject's EEG with wire or wireless communication. The classical visual oddball paradigm is designed on LabVIEW platform. Simple wavelet analysis and statistics algorithm are embedded in DSP to do EEG processing. Plenty of experiments in laboratory shows that the system accomplishes the real-time controlling of the external robot successfully.