Analyzing biological signals with CMAC, a neural network

Author

Wilson, Eric D. ; LaCourse, John R.

Author_Institution

Dept. of Electr. & Comput. Eng., New Hampshire Univ., Durham, NH, USA

fYear

1991

fDate

4-5 Apr 1991

Firstpage

3

Lastpage

4

Abstract

The neural network CMAC (Cerebellar Mode Arithmetic Computer) is discussed. CMAC is used as the main control device in an effort to develop a brain-computer link. If a person intends to move his/her eyes up, down, left, or right, it is hypothesized that a distinct electroencephalogram pattern exists for each intended direction. The CMAC could then be trained to recognize these four directional patterns and move a computer cursor correspondingly. Therefore, a severely handicapped person could will the cursor movement on the screen and scroll through menu driven software to control his/her environment

Keywords

computerised signal processing; handicapped aids; medical computing; neural nets; waveform analysis; biological signals analysis; brain-computer link; cerebellar mode arithmetic computer; computer cursor movement; directional patterns; electroencephalogram pattern; eye movements; menu driven software; severely handicapped person; Biology computing; Blood; Clouds; Infrared detectors; Neural networks; Pattern analysis; Pattern recognition; Shape; Signal analysis; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast

Conference_Location

Hartford, CT

Print_ISBN

0-7803-0030-0

Type

conf

DOI

10.1109/NEBC.1991.154552

Filename

154552