Wheelchair Control Based on Multimodal Brain-Computer Interfaces
Electroencephalogram (EEG) based brain-computer interfaces (BCIs) for wheelchair control have great value for those with devastating neuromuscular disorders. Although there have been many attempts to implement EEG-based wheelchair control systems by P300, steady state visual evoked potential (SSVEP), and motor imagery (MI) related event-related desynchronization/synchronization (ERD/ERS), the number of simultaneous control commands in those BCI systems is strictly limited, and those BCI control do not work for a non-negligible portion of users due to the problem of BCI Illiteracy.
In this paper, we develop a multimodal BCI based wheelchair control system, the user could employ subject-optimized mental strategies to produce multiple commands to control the wheelchair, which include ERD/ERS, SSVEP, and simultaneous ERD/ERS and SSVEP. It could not only help address ”BCI illiteracy”, but also provide simultaneous control commands for complex control. Experiment results demonstrate the proposed system is effective and flexible in practical application.
KeywordsBCI wheelchair control multimodal BCI Illiteracy
Unable to display preview. Download preview PDF.
- 1.Blankertz, B., Curio, G., Muller, K.R.: Classifying single trial EEG: Towards brain computer interfacing. Advances in Neural Information Processing Systems 1, 157–164 (2002)Google Scholar
- 2.Leeb, R., Friedman, D., Mller-Putz, G.R., Scherer, R., Slater, M., Pfurtscheller, G.: Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic. Computational Intelligence and Neuroscience (2007)Google Scholar
- 4.Li, J., Liang, J., Zhao, Q., Li, J., Hong, K., Zhang, L.: Design of assistive wheelchair system directly steered by human thoughts. International Journal of Neural Systems 23(3) (2013)Google Scholar
- 7.Mandel, C., Luth, T., Laue, T., Rofer, T., Graser, A., Krieg-Bruckner, B.: Navigating a smart wheelchair with a brain-computer interface interpreting steady-state visual evoked potentials. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 1118–1125. IEEE (October 2009)Google Scholar
- 10.Tan, D.S., Nijholt, A.: Brain-Computer Interfaces: applying our minds to human-computer interaction. Springer (2010)Google Scholar
- 11.Blankertz, B., Sanelli, C., Halder, S., Hammer, E.M., Kübler, A., Müller, K.R., Dickhaus, T.: Predicting BCI performance to study BCI illiteracy (2009)Google Scholar
- 14.Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST) 2(3), 27 (2011)Google Scholar