Abstract
Effective user training could help us to improve the discrimination performance of our intention in brain computer interface (BCI). This paper aims to differentiate users left or right hand motor imagery (MI) tasks with different scenarios in 3D virtual environment, as non-object-directed (NOD) scenario, static-object-directed (SOD) scenario and dynamic-object-directed (DOD) scenario respectively. The results have significant differences by applying these three scenarios. Both SOD and DOD scenarios provide better classification accuracy, shorten single-trial period, and need smaller training samples comparing with the NOD case. We conclude that improving visual display may facilitate learning to use a BCI. Further comparing these results between single-subject and multiple-subject paradigm of BCI, we verify better classification performance could also be achieved by the multiple-subject paradigm. We believe these findings have the potential to improve discrimination performance of users intention for EEG-based BCI applications.
Original language | English |
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Title of host publication | Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 |
Publisher | IEEE |
Pages | 297-301 |
Number of pages | 5 |
ISBN (Electronic) | 9781479958382 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 - Bayshore Hotel, Dalian, China Duration: 14 Oct 2014 → 16 Oct 2014 |
Conference
Conference | 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 |
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Country/Territory | China |
City | Dalian |
Period | 14/10/14 → 16/10/14 |
Keywords
- Brain computer interface (BCI)
- Electroencephalogram (EEG)
- Motor imagery
- Multiple-subject paradigm
- Single-subject paradigm
- User training
- Visual display
ASJC Scopus subject areas
- Signal Processing
- Health Information Management
- Information Systems
- Biomedical Engineering
- Health Informatics