Abstract
In this paper, we develop a simulation platform for the Brain-Computer Interface (BCI) based smart wheelchair. The main contribution of our system is to implement an efficient simulation platform for the next generation wheelchair. Meanwhile, due to disabled people training with a real-natural environment that is difficult or costly to access, a means to synthetically recreate a virtual environment is necessary to assist patient training for the wheelchair driving. Emotiv neuroheadset provides an effective and reliable means of performing EEG testing during wheelchair training, which is inexpensive and delivers data of similar quality compared to other EEG recording equipment.
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CITATION STYLE
Huang, X., Xue, X., & Yuan, Z. (2020). A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12239 LNCS, pp. 257–266). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-57884-8_23
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