Abstract
This paper presents a novel brain-computer interface (BCI) system aiming at the rehabilitation of attention-deficit/hyperactive disorder in children. It uses the P300 potential in a series of feedback games to improve the subjects' attention. We applied a support vector machine (SVM) using temporal and template-based features to detect these P300 responses. In an experimental setup using five subjects, an average error below 30% was achieved. To make it more challenging the BCI system has been embedded inside an immersive 3D virtual reality (VR) classroom with simulated distractions, which was created by combining a low-cost infrared camera and an “off-axis perspective projection” algorithm. This system is intended for kids by operating with four electrodes, as well as a non-intrusive VR setting. With the promising results, and considering the simplicity of the scheme, we hope to encourage future studies to adapt the techniques presented in this study.
Original language | English |
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Title of host publication | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | IEEE |
Publication date | 2014 |
Pages | 3606-3609 |
ISBN (Print) | 978-1-4244-7929-0 |
DOIs | |
Publication status | Published - 2014 |
Event | 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States Duration: 26 Aug 2014 → 30 Aug 2014 Conference number: 36 http://embc.embs.org/2014/ |
Conference
Conference | 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Number | 36 |
Country/Territory | United States |
City | Chicago, IL |
Period | 26/08/2014 → 30/08/2014 |
Internet address |
Keywords
- Bioengineering
- Animals
- Electrodes
- Electroencephalography
- Feature extraction
- Games
- Training
- Visualization