Performance Analysis of Brain-Computer Interfaces
Speaker:
Navid AghasadehiPresentation Abstract:
A P300 speller is a Brain-computer interface that can be used as a means of communication for people with impaired sensory motor function. This speller is described by different parameters such as the number of illuminations and the inter-stimulus interval. The performance of P300 spellers is not easily quantifiable, and therefore there is often no systematic way of choosing the system parameters. To correct this problem, we propose a Markov chain model of the P300 speller. This model allows us to quantify performance, and subsequently choose the system parameters in an optimal fashion.