Listar TE - Contribuciones a congresos científicos por tipo "info:eu-repo/semantics/submittedVersion"
Mostrando ítems 1-9 de 9
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A Brain–Computer Interface Speller with a Reduced Matrix: A Case Study in a Patient with Amyotrophic Lateral Sclerosis
Ron-Angevin, Ricardo
; Varona-Moya, Sergio; Da Silva-Sauer, Leandro; Carrión-Robles, Trinidad (2014-06-03)
Visual P300-based Brain–Computer Interface (BCI) paradigms for spelling are aimed at offering a non-muscular communication channel for those people with severe motor impairment, such as locked-in patients. To be as effective ... -
An evaluation of two distributed deployment algorithms for Mobile Wireless Sensor Networks
Deployment is important in large wireless sensor networks (WSN), specially because nodes may fall due to failure or battery issues. Mobile WSN cope with deployment and reconfiguration at the same time: nodes may move ... -
BCI-Based Navigation in Virtual and Real Environments
Velasco-Álvarez, Francisco Javier; Ron-Angevin, Ricardo; López-Gordo, Miguel Ángel (Springer, 2013-06)
A Brain-Computer Interface (BCI) is a system that enables people to control an external device with their brain activity, without the need of any muscular activity. Researchers in the BCI field aim to develop applications ... -
Contributing to VRPN with a new server for haptic devices (ext. version)
Cuevas-Rodríguez, María; González-Toledo, Daniel; Molina-Tanco, Luis; Reyes-Lecuona, Arcadio (2015-10-06)
VRPN is a middleware to access Virtual Reality peripherals. VRPN standard distribution supports Geomagic® (formerly Phantom) haptic devices through the now superseded GHOST library. This paper presents VRPN OpenHaptics ... -
Non spontaneous saccadic movements identification in clinical electrooculography using machine learning
Becerra-García, Roberto Antonio; García-Bermúdez, Rodolfo; Joya-Caparrós, Gonzalo; Fernández-Higuera, Abel; Velázquez-Rodríguez, Camilo; Velazquez-Mariño, Michel; Cuevas-Beltrán, Franger; García-Lagos, Francisco; Rodríguez-Labrada, Roberto[et al.] (Springer, 2015)
In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography ... -
Reactive adapted assistance for wheelchair navigation based on a standard skill profile
Fernández-Carmona, Manuel; Urdiales-García, Amalia Cristina; Sandoval-Hernández, Francisco (2014-12-19)
Mobility assistance for wheelchair navigation is typically based on the shared control paradigm. Traditionally, control swaps from user to machine depending either on a trigger mechanism or on a explicit user request. ... -
Saccadic points classification using Multilayer Perceptron and Randon Forest classifiers in EOG recording of patients with Ataxia SCA2
Becerra-García, Roberto Antonio; Joya-Caparrós, Gonzalo; García, Rodolfo; Velázquez, Luis; Rodríguez, Roberto; Pino, Carmen[et al.] (2013-10-23)
In this paper, we compare the performance of two different methods for the task of electrooculogram saccadic points classification in Patients with Ataxia SCA2: Multilayer Perceptrons (MLP) and Random Forest. First we ... -
UMA-BCI SPELLER: plataforma de comunicación de fácil configuración basada en el BCI2000 P300 SPELLER
Velasco-Álvarez, Francisco Javier; Fernández-Rodríguez, Álvaro; Medina-Juliá, Mayte; Sancha-Ros, Salvador; García-Garaluz, Esther (2018-07-04)
En este trabajo se presenta una nueva herramienta orientada al restablecimiento de la comunicación en pacientes con severas limitaciones motoras. Tomando como base uno de los sistemas BCI multipropósito más extendido ... -
View planning for efficient contour-based 3D object recognition
De-Trazegnies-Otero, Carmen Lourdes; Urdiales-García, Amalia Cristina; Pacheco, Javier; Sandoval-Hernández, Francisco (IEEE, 2010)
This paper presents a method for capture planning in view based 3D recognition. Views are represented by their contours, encoded into curvature functions, which are reduced into compact feature vectors by Principal Component ...