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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication4th International Winter Conference on Brain-Computer Interface, BCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467378413
DOIs
Publication statusPublished - 2016 Apr 20
Event4th International Winter Conference on Brain-Computer Interface, BCI 2016 - Gangwon Province, Korea, Republic of
Duration: 2016 Feb 222016 Feb 24

Other

Other4th International Winter Conference on Brain-Computer Interface, BCI 2016
Country/TerritoryKorea, Republic of
CityGangwon Province
Period16/2/2216/2/24

Keywords

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

ASJC Scopus subject areas

  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Development of an open source platform for brain-machine interface: OpenBMI'. Together they form a unique fingerprint.

Cite this