Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: A case study with a tetraplegic.
Computational Intelligence and Neuroscience
The aim of the present study was to demonstrate for the first time that brain waves can be used by a tetraplegic to control movements of his wheelchair in virtual reality (VR). In this case study, the spinal cord injured (SCI) subject was able to generate bursts of beta oscillations in the electroencephalogram(EEG) by imagination of movements of his paralyzed feet. These beta oscillations were used for a self-paced(asynchronous) brain-computer interface (BCI) control based on a single bipolar EEG recording.The subject was placed inside a virtual street populated with avatars. The task was to "go" from avatar to avatar towards the end of the street, but to stop at each avatar and talk to them. In average, the participant was able to successfully perform this asynchronous experiment with a performance of 90,single runs up to 100.
|Title:||Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: A case study with a tetraplegic|
|Open access status:||An open access publication|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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