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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

dc.contributor.authorGuzmán Medina, María Claudia*
dc.contributor.authorSalazar Roggero, Ursula Fernanda*
dc.contributor.authorSalas Arriarán, Sergio*
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.
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
html.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.


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