UnipaBCI a novel general software framework for brain computer interface

Autor: Antonio Chella, Rosario Sorbello, Salvatore Tramonte, Marcello Giardina
Přispěvatelé: Leonard Barolli, Olivier Terzo, Tramonte S., Sorbello R., Giardina M., Chella A.
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Computer science
Augmentative communication
02 engineering and technology
Visual evoked potentials
Humanoid robot
Electroencephalography
computer.software_genre
03 medical and health sciences
0302 clinical medicine
InformationSystems_MODELSANDPRINCIPLES
Brain-Computer Interface (BCI)
Humanoid Robot
Assistive technology
Augmentative Communication
rehabilitation
BCI framework

Human–computer interaction
0202 electrical engineering
electronic engineering
information engineering

medicine
Overall performance
Brain–computer interface
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
medicine.diagnostic_test
Rehabilitation
Modular architecture
BCI framework
Software framework
Assistive technology
Scalability
020201 artificial intelligence & image processing
computer
Brain-Computer Interface (BCI)
030217 neurology & neurosurgery
Zdroj: pp. 336–348, 2018
info:cnr-pdr/source/autori:Tramonte, Salvatore; Sorbello, Rosario; Giardina, Marcello; Chella, Antonio/titolo:UnipaBCI a novel general software framework for brain computer interface/titolo_volume:/curatori_volume:/editore:/anno:2018
Advances in Intelligent Systems and Computing ISBN: 9783319615653
CISIS
Popis: The increasing interest in Brain Computer Interface (BCI) requires new fast, reliable and scalable frameworks that can be used by researchers to develop BCI based high performance applications in efficient and fast ways. In this paper is presented "UnipaBCI", a general software framework for BCI applications based on electroencephalogra-phy (EEG) that can fulfill these new needs. A visual evoked potentials (VEP) application has also been developed using the proposed framework in order to test the modular architecture and the overall performance. Different types of users (beginners and experts in BCI) have been involved during the "UnipaBCI" experimental test and they have exhibited good and comparable results.
Databáze: OpenAIRE