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http://hdl.handle.net/10609/99726
Title: Design & implementation of a powered wheelchair control system using EOG signals
Other Titles: Diseño e implementación del sistema de control para una silla de ruedas motorizada mediante señales EOG
Author: Martínez Cerveró, Jayro
Tutor: Vegas Lozano, Esteban
Reverter Comes, Ferran
Keywords: electrooculography
human computer interaction
SVM
machine learning
Issue Date: 6-Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The goal of the project is to design and implement a powered wheelchair control system using electrooculographic signals. The system aims to help people with reduced mobility to control the mentioned wheelchair using eye movements, enabling them to take advantage of the mobility and autonomy advantages that this kind of system could provide to them. One of the crucial component of this system is implementation of the data acquisition and pre-processing as well as the signal feature extraction, signal classification and control system based on that classification. A Support Vector Machines (SVM) based Machine Learning technique was used for classification. These methods were developed and implemented during this proposed work with the aim to enable eye movement based wheelchair control.
Language: English
URI: http://hdl.handle.net/10609/99726
Appears in Collections:Bachelor thesis, research projects, etc.

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jmartinezcerveTFM0619memory.pdfMemory of TFM1.23 MBAdobe PDFView/Open
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