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A Method of EOG Signal Processing to Detect the Direction of Eye Movements

 

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Opened Access A Method of EOG Signal Processing to Detect the Direction of Eye Movements
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Author: Merino Monge, Manuel
Rivera Romero, Octavio
Gómez González, Isabel María
Molina Cantero, Alberto Jesús
Dorronzoro Zubiete, Enrique
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2010
Published in: The First International Conference on Sensor Device Technologies and Applications SENSORDEVICES 2010 (2010), p 100-105
ISBN/ISSN: 978-1-4244-7474-5
Document type: Presentation
Abstract: In this paper, a signal processing algorithm to detect eye movements is developed. The algorithm works with two kinds of inputs: derivative and amplitude level of electrooculographic signal. Derivative is used to detect signal edges and the amplitude level is used to filter noise. Depending of movement direction, different kinds of events are generated. Events are associated with a movement and its route. A hit rate equal to 94% is reached. This algorithm has been used to implement an application that allows computer control using ocular movement
Cite: Merino Monge, M., Rivera Romero, O., Gómez González, I.M., Molina Cantero, A.J. y Dorronzoro Zubiete, E. (2010). A Method of EOG Signal Processing to Detect the Direction of Eye Movements. En The First International Conference on Sensor Device Technologies and Applications SENSORDEVICES 2010 (100-105), Venecia: IEEE Computer Society.
Size: 480.3Kb
Format: PDF

URI: http://hdl.handle.net/11441/53897

DOI: 10.1109/SENSORDEVICES.2010.25

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