A binary motor imagery tasks based brain-computer interface for two-dimensional movement control
| Autor: | Lei Cao, Caixia Su, Hong Xie, Jie Li, Oladazimi Maysam, Niels Birbaumer, Bin Xia |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Adult
Male Computer science Movement 0206 medical engineering Biomedical Engineering Binary number 02 engineering and technology Visual feedback 03 medical and health sciences Cellular and Molecular Neuroscience Random Allocation Young Adult 0302 clinical medicine Motor imagery Humans Computer vision Simulation Movement control Brain–computer interface Random allocation business.industry Motor Cortex Cursor (user interface) Electroencephalography 020601 biomedical engineering Brain-Computer Interfaces Hit rate Imagination Female Artificial intelligence business 030217 neurology & neurosurgery Psychomotor Performance |
| Zdroj: | Journal of neural engineering. 14(6) |
| ISSN: | 1741-2552 |
| Popis: | Objective. Two-dimensional movement control is a popular issue in brain–computer interface (BCI) research and has many applications in the real world. In this paper, we introduce a combined control strategy to a binary class-based BCI system that allows the user to move a cursor in a two-dimensional (2D) plane. Users focus on a single moving vector to control 2D movement instead of controlling vertical and horizontal movement separately. Approach. Five participants took part in a fixed-target experiment and random-target experiment to verify the effectiveness of the combination control strategy under the fixed and random routine conditions. Both experiments were performed in a virtual 2D dimensional environment and visual feedback was provided on the screen. Main results. The five participants achieved an average hit rate of 98.9% and 99.4% for the fixed-target experiment and the random-target experiment, respectively. Significance. The results demonstrate that participants could move the cursor in the 2D plane effectively. The proposed control strategy is based only on a basic two-motor imagery BCI, which enables more people to use it in real-life applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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