ABSTRACT
This chapter examines the potential impact of one specific area of neurotechnology on the future of soldier-system design: brain–computer interaction technologies (BCITs). It describes and distinguishes the term "BCIT" from the standard term "brain–computer interface" (BCI). The chapter discusses critical components of BCITs, which include brain signal detection, with an emphasis on those most relevant to BCIT design; and brain signal analysis and interpretation. It provides three examples of novel BCITs that target themes: increases in complexity induced by technology; soldier-system performance under battlefield conditions; and enhancement of the system design and evaluation process. The chapter focuses on electroencepthalogram (EEG)-based brain imaging technologies, which have undergone tremendous advances over the past ten years. It also discusses two methods that have been successful in BCI applications: Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). A BCIT is a system that adapts to or integrates dynamic changes in an individual's brain state, as determined from neural signals, into its function.
