VHDL Based Electro-Oculogram Signal Classification

Abstract

technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language