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

2.50
Hdl Handle:
http://hdl.handle.net/10757/607071
Title:
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
Authors:
Guzmán Medina, María Claudia; Salazar Roggero, Ursula Fernanda; Salas Arriarán, Sergio
Publisher:
Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on
Issue Date:
Sep-2015
URI:
http://hdl.handle.net/10757/607071
DOI:
10.1109/STSIVA.2015.7330456
Abstract:
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.
Type:
info:eurepo/semantics/conferenceObject
Rights:
info:eu-repo/semantics/embargoedAccess
Language:
eng
Description:
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado; 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA 2015). Evento realizado el 2-4 September 2015, Bogota, Colombia.
Keywords:
Electro-oculography; Electronic messaging; Human computer interaction; Medical signal detection; Medical signal processing

Full metadata record

DC FieldValue Language
dc.contributor.authorGuzmán Medina, María Claudiaes_PE
dc.contributor.authorSalazar Roggero, Ursula Fernandaes_PE
dc.contributor.authorSalas Arriarán, Sergioes_PE
dc.creatorUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.date.accessioned2016-04-25T20:29:25Zes_PE
dc.date.available2016-04-25T20:29:25Zes_PE
dc.date.issued2015-09es_PE
dc.identifier.doi10.1109/STSIVA.2015.7330456es_PE
dc.identifier.urihttp://hdl.handle.net/10757/607071es_PE
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicadoes_PE
dc.description2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA 2015). Evento realizado el 2-4 September 2015, Bogota, Colombia.es_PE
dc.description.abstractThis 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.es_PE
dc.formatapplication/htmles_PE
dc.language.isoenges_PE
dc.publisherSignal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium ones_PE
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_PE
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectElectro-oculographyes_PE
dc.subjectElectronic messaginges_PE
dc.subjectHuman computer interactiones_PE
dc.subjectMedical signal detectiones_PE
dc.subjectMedical signal processinges_PE
dc.titleDesign 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 limbses_PE
dc.typeinfo:eurepo/semantics/conferenceObjectes_PE
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