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 |
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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 | |
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 |
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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