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A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12239))

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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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Acknowledgements

The research was partially supported by the National Natural Science Foundation of China (No. 51622507, 61471255, 61474079, 61501316, 51505324), Excellent Talents Technology Innovation Program of Shanxi Province of China (201805D211020), Beijing Natural Science Foundation (7202190).

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Authors and Affiliations

  1. MicroNano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, College of Information and Computer Engineering, Taiyuan University of Technology, Taiyuan, 030024, China

    Xinru Huang, Xianwei Xue & Zhongyun Yuan

Authors
  1. Xinru Huang
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  2. Xianwei Xue
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  3. Zhongyun Yuan
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Corresponding author

Correspondence to Zhongyun Yuan .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science, Nanjing, China

    Jinwei Wang

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Huang, X., Xue, X., Yuan, Z. (2020). A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12239. Springer, Cham. https://doi.org/10.1007/978-3-030-57884-8_23

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  • DOI: https://doi.org/10.1007/978-3-030-57884-8_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57883-1

  • Online ISBN: 978-3-030-57884-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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