Abstract
Once unthinkable, it is now possible to record and interpret brain signals to generate application commands through a Brain-Computer Interface (BCI). This innovative technology of human-computer interaction brings hope to people with severe motor disabilities to improve their quality of life and social insertion. This study aims to analyze the feasibility of using a BCI based on Steady State Visually Evoked Potentials (SSVEP) in the control of a wheelchair. For this purpose, a 3D simulator of a wheelchair was developed and the user interaction was analyzed. The results show the feasibility of controlling the wheelchair simulator by BCI-SSVEP. However, it is still necessary to analyze the interaction performance in a real environment and to make improvements in the BCI and in the control system to guarantee a safer and more efficient experience to the user.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carvalho, S.N., et al.: Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs. Biomed. Signal Process. Control 21, 34–42 (2015)
Costa, T.B.S., Carvalho, S.N., Uribe, L.F.S., Ferrari, R., Souza, R.S., Soriano, D.C., Castellano, G., Attux, R.R.F., Romano J.M.T., Cardozo, E.: Online brain-computer interface based on steady-state visually evoked potentials. In: 2nd Brainn Congress, Campinas. Journal of Epilepsy and Clinical Neurophysiology vol. 21. pp. 75–75 (2015)
Garcia-Molina, G., ZHU, D.: Optimal spatial filtering for the steady state visual evoked potential: BCI application. In: Neural Engineering (NER), 5th International IEEE/EMBS Conference on. IEEE, pp. 156–160 (2011)
Graimann, B., Allison, B., Pfurtscheller, G.: Brain-Computer Interfaces: A Gentle Introduction. The Frontiers Collection. Springer-Verlag, Berlin Heidelberg (2010)
Leite, H.M.A., Carvalho, S.N., Costa, T.B.S., Attux, R., Hornung, H.H., Arantes, D.S.: Analysis of user interaction with a brain-computer interface based on steady-state visually evoked potentials: case study of a game. Comput. Intell. Neurosci. 2018, 10 (2018)
Leeb, R., Friedman, D., Müller-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. Comput. Intell. Neurosci. 2007, 8 (2007)
Rebsamen, B., Guan, C., Zhang, H., Wang, C., Teo, C., Ang, M.H., Burdet, E.: A brain controlled wheelchair to navigate in familiar environments. IEEE Trans. Neural Syst. Rehabil. Eng. 18(6), 590–598 (2010)
Zhang, R., Li, Y., Yan, Y., Zhang, H., Wu, S., Yu, T., Gu, Z.: Control of a wheelchair in an indoor environment based on a brain-computer interface and automated navigation. IEEE Trans. Neural Syst. Rehabil. Eng. 24(1), 128–139 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Miranda, M., Vargas, G.V., Carvalho, S.N., Arantes, D., Leite, H.M.A. (2019). Wheelchair Simulator Controlled by a Brain-Computer Interface Based on Steady State Visually Evoked Potentials. In: Iano, Y., Arthur, R., Saotome, O., Vieira Estrela, V., Loschi, H. (eds) Proceedings of the 4th Brazilian Technology Symposium (BTSym'18). BTSym 2018. Smart Innovation, Systems and Technologies, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-030-16053-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-16053-1_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16052-4
Online ISBN: 978-3-030-16053-1
eBook Packages: EngineeringEngineering (R0)