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Sensors 2017, 17(7), 1505; doi:10.3390/s17071505

Development of a Computer Writing System Based on EOG

1
Departamento de Ingeniería Eléctrica, Electrónica, Computadores y Sistemas, Universidad de Oviedo, Campus of Gijón, 33204 Gijón, Spain
2
Instituto de Telecomunicações, ISCTE-IUL, Av. Rovisco Pais, 1, 1049–001 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Received: 8 April 2017 / Revised: 21 June 2017 / Accepted: 22 June 2017 / Published: 26 June 2017
(This article belongs to the Special Issue Sensors for Ambient Assisted Living, Ubiquitous and Mobile Health)
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Abstract

The development of a novel computer writing system based on eye movements is introduced herein. A system of these characteristics requires the consideration of three subsystems: (1) A hardware device for the acquisition and transmission of the signals generated by eye movement to the computer; (2) A software application that allows, among other functions, data processing in order to minimize noise and classify signals; and (3) A graphical interface that allows the user to write text easily on the computer screen using eye movements only. This work analyzes these three subsystems and proposes innovative and low cost solutions for each one of them. This computer writing system was tested with 20 users and its efficiency was compared to a traditional virtual keyboard. The results have shown an important reduction in the time spent on writing, which can be very useful, especially for people with severe motor disorders. View Full-Text
Keywords: electro-oculography (EOG); eye movement; denoising; human-computer interface (HCI); signal acquisition; wavelet transform electro-oculography (EOG); eye movement; denoising; human-computer interface (HCI); signal acquisition; wavelet transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

López, A.; Ferrero, F.; Yangüela, D.; Álvarez, C.; Postolache, O. Development of a Computer Writing System Based on EOG. Sensors 2017, 17, 1505.

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