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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Choi, K., Hirose, H., Sakurai, Y., Iijima, T., Koike, Y.: Prediction of arm trajectory from the neural activities of the primary motor cortex using a modular artificial neural network model. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. LNCS, vol. 4985, pp. 987–996. Springer, Heidelberg (2008)
Wolpaw, J.R., McFarland, D.J.: Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. PNAS 101, 17849–17854 (2004)
Cichocki, A., Amari, S.: Adaptive blind signal and image processing, vol. 1. Wiley, Chichester (2002)
Koike, Y., Kawato, M.: Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model. Biol. Cybernet 73, 291–300 (1995)
Choi, K., Sato, M., Koike, Y.: Consideration of the Embodiment of a New, Human-centered Interface. IEICE Trans. Inf. Syst. E89-D(6) (June 2006)
Blankertz, B., Kawanabe, M., Tomioka, R., Hohlefeld, F., Nikulin, V., Müller, K.R.: Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing. In: Advances in Neural Information Processing Systems, vol. 20, MIT Press, Cambridge (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)