Title :
Tutorial 4: Multicores: Architectures, Programming and Beyond
Author :
Gandhi, Thulasidharan ; Trikha, M. ; Santosh, J. ; Anand, Sruthy
Author_Institution :
Indian Inst. of Technol., Delhi
Abstract :
In this paper, we present a simple and novel technique for classification of multiple channel electro-oculogram 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.
Keywords :
deterministic automata; electro-oculography; finite automata; hardware description languages; medical signal processing; signal classification; VHDL; deterministic finite automata; electrooculogram signal classification; multiple channel electrooculogram signals classification;
Conference_Titel :
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
0-7695-3059-1
DOI :
10.1109/ADCOM.2007.10
