Service Robot System Based on Brain-computer Interface Technology

作者：Zhao Li, Chuo Li, Shigang Cui · 年份：2007 · DOI：10.1109/icnc.2007.657 · 被引用次数：4 · 研究领域：EEG and Brain-Computer Interfaces、Gaze Tracking and Assistive Technology、Neuroscience and Neural Engineering

This paper presents a brain-computer interface (BCI) system that can help the disabled to control external service robot. The system is based on electroencephalogram (EEG) alpha (a) wave. Alpha wave-block was recognized, processed and transmitted to control single option, and design of state selector helps to realize multi-option control. BCI subjects were able to use the system reliably after merely short-time training prior to the experiments. If only the subjects carry out operation steps correctly, and the average accuracy rate of execution unit still can reach 91.2%. This system will be helpful to disabled person by being proved rationality of multi-option control and practical value triggered by Alpha wave, and approaches to improve the performance of the system are discussed.