Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces

Brain Computer Interfaces (BCIs) are useful devices that provide new ways of communication to people who have lost the capability of interacting with their environment. Although several paradigms have resulted in large improvements in the construction of BCIs, quite often they require great efforts...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Nieto, Nicolás, Runer, Hugo L., Spies, Ruben
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Electroencephalography
Machine Learning
Brain Pattern Recognition
Extreme Learning Machines
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140168
http://50jaiio.sadio.org.ar/pdfs/asai/ASAI-01.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140168
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Electroencephalography
Machine Learning
Brain Pattern Recognition
Extreme Learning Machines
spellingShingle Ciencias Informáticas
Electroencephalography
Machine Learning
Brain Pattern Recognition
Extreme Learning Machines
Nieto, Nicolás
Runer, Hugo L.
Spies, Ruben
Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
topic_facet Ciencias Informáticas
Electroencephalography
Machine Learning
Brain Pattern Recognition
Extreme Learning Machines
description Brain Computer Interfaces (BCIs) are useful devices that provide new ways of communication to people who have lost the capability of interacting with their environment. Although several paradigms have resulted in large improvements in the construction of BCIs, quite often they require great efforts from the patient or they are not able to generate natural and efficient interfaces. In that scenario, inner speech appears as a promising paradigm for tackling those problems. Nevertheless, the lack of publicly available databases largely precludes the analysis and development of methods for using this paradigm. In this work we use a recently released database to show that it is possible to classify and differentiate inner speech signals from signals acquired within other two well known paradigms. This is undoubtedly a first step in the search and construction of an inner speech based BCI.
format Objeto de conferencia
Objeto de conferencia
author Nieto, Nicolás
Runer, Hugo L.
Spies, Ruben
author_facet Nieto, Nicolás
Runer, Hugo L.
Spies, Ruben
author_sort Nieto, Nicolás
title Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
title_short Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
title_full Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
title_fullStr Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
title_full_unstemmed Preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
title_sort preliminary feasibility analysis of inner speech as a control paradigm for brain-computer interfaces
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/140168
http://50jaiio.sadio.org.ar/pdfs/asai/ASAI-01.pdf
work_keys_str_mv AT nietonicolas preliminaryfeasibilityanalysisofinnerspeechasacontrolparadigmforbraincomputerinterfaces
AT runerhugol preliminaryfeasibilityanalysisofinnerspeechasacontrolparadigmforbraincomputerinterfaces
AT spiesruben preliminaryfeasibilityanalysisofinnerspeechasacontrolparadigmforbraincomputerinterfaces
bdutipo_str Repositorios
_version_ 1764820458338779136

Ejemplares similares