An application of online ANFIS classifier for wheelchair based brain computer interface

In this paper, an application of Adaptive Network Fuzzy Interference System on EEG-SSVEP classification for brain-controlled wheelchair is presented. The used of steady-state paradigms with a periodic visual stimulus to stimulate the EEG-SSVEP is focused. In the experiment, four subjects with age about 25±1 years were tested. The experimental results show that the implementation of the proposed method achieves a great statistical improvement in classifying peak amplitude features with greater than 90% accuracy.