Sponsor
Portland State University. Department of Electrical Engineering
First Advisor
George G. Lendaris
Date of Publication
1992
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical Engineering
Department
Electrical Engineering
Language
English
Subjects
Communication devices for people with disabilities, Gaze, Neural networks (Computer science), Visual evoked response
DOI
10.15760/etd.6142
Physical Description
1 online resource (119 p.)
Abstract
Severe motor disabilities can render a person almost completely incapable of communication. Nevertheless, in many cases, the sensory systems are intact and the eye movements are still under good control. In these cases, one can use a device such as the Brain Response Interface (BRI) to command a remote control (e.g. room temperature, bed position), a word-processor, a speech synthesizer, and so on.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/24665
Recommended Citation
Baud-Bovy, Gabriel, "A gaze-addressing communication system using artificial neural networks" (1992). Dissertations and Theses. Paper 4258.
https://doi.org/10.15760/etd.6142
Comments
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