Design Combinational Circuit of Reversible Circuits in Emerging Technologies for HCI

Abstract

The first aim of the thesis is to design feature selection and classification algorithms to distinguish between binary and multiple mental states. These algorithms must produce an optimal performance in terms of accuracy and computational time so that it can be used in real-time applications. Secondly, to design BCI control strategies using reversible combinational ckt like multiplexer, multiplier, adder/sub-tractor for real-time thought control of a human computer interaction (HCI). Reversible logic has emerged as one of the most important approaches and more prominent technology nowadays. Power is the main concern for development and growth of modern VLSI designs.