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Brain computer interface (BCI) enables nonmuscular interaction with the environment. This interaction is particularly beneficial for those with impaired voluntary muscular activity. In this study, an online single trial analysis of a P300 dataset acquired using the six choice paradigm from four disabled subjects was conducted using a methodology involving the fuzzy k nearest neighbors classifier since an offline analysis and averaging many repeated trials in P300 based BCI are not always practical in real applications. The results showed that this methodology is favorable for the single trial analysis of the P300 event related potential for the disabled. Further research is warranted to achieve additional improvements in the single trial classification accuracies to the levels adequate for use in real applications.