Abstract
This paper gives an outline of a non-invasive brain machine interface (BMI) implemented for controlling a motorized wheelchair online. Subjects were trained by using an effective feedback training method, and they could then control the wheelchair freely, similar to controlling it with a joystick.
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Choi, K., Cichocki, A. (2008). Control of a Wheelchair by Motor Imagery in Real Time. In: Fyfe, C., Kim, D., Lee, SY., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2008. IDEAL 2008. Lecture Notes in Computer Science, vol 5326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88906-9_42
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DOI: https://doi.org/10.1007/978-3-540-88906-9_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88905-2
Online ISBN: 978-3-540-88906-9
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