The brain computer interface (BCI) technology allows a direct connection between brain and computer without any muscular activity required, and thus it offers a unique opportunity to enhance and/or to restore communication and actions into external word in people with severe motor disability. Here, we present the framework of the current research progresses regarding noninvasive EEG-based BCI applications specifically devoted to interact with the environment and other software. The P300 potentials recorded from the scalp represent a suitable BCI signal control for applications like environmental control. Here we present a set of findings that confirm the feasibility of a real domotic environmental control operated via P300-based BCI and a novelty interface approach to evoke the P300 signal. © 2010 ACM.

Advanced brain computer interface for communication and control / Aloise, Fabio; Schettini, Francesca; Aricò, Pietro; L., Bianchi; Riccio, Angela; Mecella, Massimo; Babiloni, Fabio; D., Mattia; Cincotti, Febo. - (2010), pp. 399-400. (Intervento presentato al convegno International Conference on Advanced Visual Interfaces, AVI '10 tenutosi a Rome nel 26 May 2010 through 28 May 2010) [10.1145/1842993.1843076].

Advanced brain computer interface for communication and control

ALOISE, FABIO;SCHETTINI, FRANCESCA;Pietro Arico;RICCIO, ANGELA;MECELLA, Massimo;BABILONI, Fabio;CINCOTTI, FEBO
2010

Abstract

The brain computer interface (BCI) technology allows a direct connection between brain and computer without any muscular activity required, and thus it offers a unique opportunity to enhance and/or to restore communication and actions into external word in people with severe motor disability. Here, we present the framework of the current research progresses regarding noninvasive EEG-based BCI applications specifically devoted to interact with the environment and other software. The P300 potentials recorded from the scalp represent a suitable BCI signal control for applications like environmental control. Here we present a set of findings that confirm the feasibility of a real domotic environmental control operated via P300-based BCI and a novelty interface approach to evoke the P300 signal. © 2010 ACM.
2010
International Conference on Advanced Visual Interfaces, AVI '10
brain-computer interfaces; technologies for independent life; ambient intelligence; severe motor impairment
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Advanced brain computer interface for communication and control / Aloise, Fabio; Schettini, Francesca; Aricò, Pietro; L., Bianchi; Riccio, Angela; Mecella, Massimo; Babiloni, Fabio; D., Mattia; Cincotti, Febo. - (2010), pp. 399-400. (Intervento presentato al convegno International Conference on Advanced Visual Interfaces, AVI '10 tenutosi a Rome nel 26 May 2010 through 28 May 2010) [10.1145/1842993.1843076].
File allegati a questo prodotto
File Dimensione Formato  
VE_2010_11573-390941.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 68.9 kB
Formato Adobe PDF
68.9 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/390941
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? ND
social impact