Bibliographic citations
Díaz, J., Morales, C. (2019). Desarrollo de una interfaz mediante señales EOG para el manejo de la computadora por parte de una persona con discapacidad en los miembros superiores [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/652754
Díaz, J., Morales, C. Desarrollo de una interfaz mediante señales EOG para el manejo de la computadora por parte de una persona con discapacidad en los miembros superiores [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2019. http://hdl.handle.net/10757/652754
@misc{renati/1287915,
title = "Desarrollo de una interfaz mediante señales EOG para el manejo de la computadora por parte de una persona con discapacidad en los miembros superiores",
author = "Morales Vargas, Christian Ricardo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2019"
}
The present thesis proposes the design of a system that works with electro-occupational signals and then processes and interprets them so that the user can work with the computer using only the ocular muscle. The problem that is solved has a technical engineering inclination, since it seeks to correct the weaknesses and cover the aspects not touched by the present state of the art, to finally design an electronic equipment that allows the interaction of a user with a computer under the needs of a person with a disability in the upper limbs. The designed device is composed of a circuit capable of acquiring through electrodes the EOG signal of a person, processing and analyzing it to know the waveform and then interpret it and send a waveform recognition character using a bluetooth to a computer with which it must be paired in advance. This computer will consist of software that was designed in the present thesis and will be able to interpret the received characters and perform functions of moving and pressing a mouse, as well as writing using a virtual keyboard. In order to validate the designed device, tests were made with 16 people, of which 14 were people without disabilities in the upper limbs and 2 of them were. We did not work with patients from a specific health centre, but tested with people contacted by doctors and physiotherapists, including some who work for the UPC, who provided their unconditional support for validation and testing with the patients in their care. The results obtained in the tests carried out show that out of a group of 16 people the efficiency in the recognition of the waveform of a double blink is 92.9%, of the blink - look up and blink - look down 88.4% and of the prolonged blink 93%. The target value was 80% to more, so it is achieved.
This item is licensed under a Creative Commons License