TY - GEN
T1 - Design and implementation of a prototype of an electrooculographic signal processing system oriented to control-by wink-The instant messaging environment Telegram for users with motor limitations in upper limbs
AU - Medina, Maria Claudia Guzman
AU - Roggero, Ursula Fernanda Salazar
AU - Arriaran, Sergio Salas
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/16
Y1 - 2015/11/16
N2 - This paper is based upon the design and implementation of a Human Computer Interface (HCI) as a support tool for people with upper limb disabilities, especially those with difficulties in speech, so as to interact and communicate by Instant Messaging Environments (IME). For this, we have implemented the appropriate hardware for acquisition and conditioning of the electrooculografic signal. As for the software, we have developed a wink pattern recognition algorithm composed of three processes: zero crossing technique adapted to the level of direct current (DC), comparison of the energy threshold and the Pearson correlation coefficient. Besides, a virtual keyboard was implemented to allow users to select, by means of winks, the characters that they wanted to transmit messages by the IME Telegram. Finally, the system was tested by potential users obtaining a success rate of 94.90% that proof how effective and reliable it is.
AB - This paper is based upon the design and implementation of a Human Computer Interface (HCI) as a support tool for people with upper limb disabilities, especially those with difficulties in speech, so as to interact and communicate by Instant Messaging Environments (IME). For this, we have implemented the appropriate hardware for acquisition and conditioning of the electrooculografic signal. As for the software, we have developed a wink pattern recognition algorithm composed of three processes: zero crossing technique adapted to the level of direct current (DC), comparison of the energy threshold and the Pearson correlation coefficient. Besides, a virtual keyboard was implemented to allow users to select, by means of winks, the characters that they wanted to transmit messages by the IME Telegram. Finally, the system was tested by potential users obtaining a success rate of 94.90% that proof how effective and reliable it is.
UR - https://www.scopus.com/pages/publications/84962822350
U2 - 10.1109/STSIVA.2015.7330456
DO - 10.1109/STSIVA.2015.7330456
M3 - Contribución a la conferencia
AN - SCOPUS:84962822350
T3 - 2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
BT - 2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
A2 - Guarin, Pedro Vizcaya
A2 - Posada, Lorena Garcia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015
Y2 - 2 September 2015 through 4 September 2015
ER -