Development of an open source platform for brain-machine interface: OpenBMI

Min Ho Lee; Siamac Fazli; Keun Tae Kim; Seong Whan Lee

doi:10.1109/IWW-BCI.2016.7457440

Development of an open source platform for brain-machine interface: OpenBMI

Min Ho Lee, Siamac Fazli, Keun Tae Kim, Seong Whan Lee

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named 'OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), eventrelated potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.

Original language	English
Title of host publication	4th International Winter Conference on Brain-Computer Interface, BCI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781467378413
DOIs	https://doi.org/10.1109/IWW-BCI.2016.7457440
Publication status	Published - 2016 Apr 20
Event	4th International Winter Conference on Brain-Computer Interface, BCI 2016 - Gangwon Province, Korea, Republic of Duration: 2016 Feb 22 → 2016 Feb 24

Other

Other	4th International Winter Conference on Brain-Computer Interface, BCI 2016
Country/Territory	Korea, Republic of
City	Gangwon Province
Period	16/2/22 → 16/2/24

Keywords

Brain-Machine Interface
Open-Source Software
OpenBMI
Psychophysics Toolbox
Real-time analysis

ASJC Scopus subject areas

Human-Computer Interaction

Access to Document

10.1109/IWW-BCI.2016.7457440

Cite this

Lee, MH, Fazli, S, Kim, KT & Lee, SW 2016, Development of an open source platform for brain-machine interface: OpenBMI. in 4th International Winter Conference on Brain-Computer Interface, BCI 2016., 7457440, Institute of Electrical and Electronics Engineers Inc., 4th International Winter Conference on Brain-Computer Interface, BCI 2016, Gangwon Province, Korea, Republic of, 16/2/22. https://doi.org/10.1109/IWW-BCI.2016.7457440

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title = "Development of an open source platform for brain-machine interface: OpenBMI",

abstract = "Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named 'OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), eventrelated potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.",

keywords = "Brain-Machine Interface, Open-Source Software, OpenBMI, Psychophysics Toolbox, Real-time analysis",

author = "Lee, {Min Ho} and Siamac Fazli and Kim, {Keun Tae} and Lee, {Seong Whan}",

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AU - Lee, Seong Whan

PY - 2016/4/20

Y1 - 2016/4/20

N2 - Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named 'OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), eventrelated potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.

AB - Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named 'OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), eventrelated potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.

KW - Brain-Machine Interface

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KW - OpenBMI

KW - Psychophysics Toolbox

KW - Real-time analysis

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BT - 4th International Winter Conference on Brain-Computer Interface, BCI 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 22 February 2016 through 24 February 2016

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Development of an open source platform for brain-machine interface: OpenBMI

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Keywords

ASJC Scopus subject areas

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