Product Description:
We are designing a portable communication device that relies on a non-invasive BCI with optimized language modeling for literate individuals who are functionally locked-in. We use single trial P3 detection for binary selection of single characters in a rapid serial visual presentation (RSVP).
Our RSVP system prototype uses an N-gram character-based language model, which is an (N-1)-order Markov process, to order symbols in real-time. Letters and characters appear sequentially using the order specified by the language model, the output of which is based on the string of previously detected symbols. A subset of the symbols is repeated at the end of a given sequence based on (1) a limited number of symbols having a high, but sub-threshold, posterior probability and (2) a flag from the vigilance detector indicating that the specified letter was likely not attended. In this paper, we present preliminary results for target classification in such an RSVP paradigm.