A Scorewriter Application using Electrooculography-based Human-Computer Interface

Mañoso, Carolina, Pérez de Madrid, Ángel, Romero, Miguel y Pérez–Roa, Enrique M.(2022) .A Scorewriter Application using Electrooculography-based Human-Computer Interface. 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).En: Singapore. (2022-12-11)

Título de la Conferencia 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Fecha de inicio de la Conferencia 2022-12-11
Fecha fín de la Conferencia 2022-12-13
Lugar de la Conferencia Singapore
Fecha de presentación de la Ponencia 2022
Titulo A Scorewriter Application using Electrooculography-based Human-Computer Interface
Autor(es) Mañoso, Carolina
Pérez de Madrid, Ángel
Romero, Miguel
Pérez–Roa, Enrique M.
Materia(s) Informática
Abstract At present, many projects are being developed with human-computer interfaces in different areas but few are related to music. In this work we present a scorewriter application that uses electrooculography as input interface. For one side, the hardware used to record the electrooculogram consists mainly of a low-cost Arduino based microcontroller board that will receive the signal from the electrodes, collect it and send it via USB to the computer. On the other hand, we use free software to implement the application running on the computer. This application is in charge of processing, classifying (using a neural network) and translating the signal into commands to finally build the song and play it. The modularity of the application allows it to be easily modified for other tasks using the same interface. Due to the nature of the application it is very suitable for entertainment. Furthermore, due to the characteristics of its interface it is also suitable for people with reduced mobility who want to easily perform simple music composition tasks.
Palabra clave Human computer interaction
Electrooculography
Neural networks
Music
Entertainment industry
Universal Serial Bus
Hardware
Editor(es) IEEE
Fecha 2022
Formato application/pdf
Identificador bibliuned:DptoSCC-ETSI-Ponencias-Mromero-0003
http://e-spacio.uned.es/fez/view/bibliuned:DptoSCC-ETSI-Ponencias-Mromero-0003
10.1109/ICARCV57592.2022.10004322
Idioma eng
Versión de la publicación publishedVersion
Nivel de acceso y licencia info:eu-repo/semantics/closedAccess
Tipo de recurso conferenceObject
Tipo de acceso Acceso cerrado

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 28 Visitas  -  Estadísticas en detalle
Creado: Mon, 05 Feb 2024, 23:09:49 CET