ABSTRACT
Performance assessment has a pivotal role in the development of brain–computer interface (BCI) systems and algorithms. A large number of performance-measuring metrics exist in the literature, and the choice of best metric may be difficult for researchers. The main objective of this chapter is to demonstrate different performance assessment criteria as well as to report the most widely accepted system performance metrics. This chapter will also help readers to choose suitable performance-measuring metrics for a specific type of BCI. Performance measurement and evaluation criteria are different for discrete and continuous BCIs; these systems will be discussed separately. The chapter should help researchers and BCI system developers to compare systems side by side with existing technologies.
