Steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI): a low-delayed asynchronous wheelchair control system
作者： Zhuo Xu , Jie Li , Rong Gu , Bin Xia
DOI: 10.1007/978-3-642-34475-6_37
关键词:
摘要: The aim of the present study was to propose an effective and low-delayed asynchronous SSVEPs-based BCI system for practical wheelchair control. paradigm based on discrimination Steady-state visually evoked potential (SSVEP) which is widely applied various audiences. Bayesian Classifier a detection mechanism were devised integrated enable user control flexibly. In particular, comparing with traditional method using fix threshold or simple classification model distinguish idle state task state, our exhibited higher accuracy possessed better performance wheelchair. Five subjects took part in offline two them continued on-line real average, we achieved 87.17% 92.70% accomplished 187 s 298 s, respectively.
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