UnipaBCI a Novel General Software Framework for Brain Computer Interface

Antonio Chella; Salvatore Tramonte; Rosario Sorbello; Marcello Emanuele Giardina; Antonio Chella

UnipaBCI a Novel General Software Framework for Brain Computer Interface

Antonio Chella, Salvatore Tramonte, Rosario Sorbello, Marcello Emanuele Giardina, Antonio Chella

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Risultato della ricerca: Conference contribution

2 Citazioni (Scopus)

Abstract

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 electroencephalography (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

Lingua originale	English
Titolo della pubblicazione ospite	Proceedings of the 11th International Conference on Complex, Intelligent,and Software Intensive Systems (CISIS-2017)
Numero di pagine	12
Stato di pubblicazione	Published - 2017

All Science Journal Classification (ASJC) codes

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@inproceedings{a1316ebd8f9440bbbc5477a0becb4d89,

title = "UnipaBCI a Novel General Software Framework for Brain Computer Interface",

abstract = "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 electroencephalography (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",

author = "Antonio Chella and Salvatore Tramonte and Rosario Sorbello and Giardina, {Marcello Emanuele} and Antonio Chella",

year = "2017",

language = "English",

isbn = "978-3-319-61565-3",

booktitle = "Proceedings of the 11th International Conference on Complex, Intelligent,and Software Intensive Systems (CISIS-2017)",

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TY - GEN

T1 - UnipaBCI a Novel General Software Framework for Brain Computer Interface

AU - Chella, Antonio

AU - Tramonte, Salvatore

AU - Sorbello, Rosario

AU - Giardina, Marcello Emanuele

AU - Chella, Antonio

PY - 2017

Y1 - 2017

N2 - 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 electroencephalography (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

AB - 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 electroencephalography (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

UR - http://hdl.handle.net/10447/238117

UR - https://link.springer.com/content/pdf/10.1007/978-3-319-61566-0_31.pdf

M3 - Conference contribution

SN - 978-3-319-61565-3

BT - Proceedings of the 11th International Conference on Complex, Intelligent,and Software Intensive Systems (CISIS-2017)

ER -

UnipaBCI a Novel General Software Framework for Brain Computer Interface

Abstract

All Science Journal Classification (ASJC) codes

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