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Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

  • Shaolin Liu
  • , Fei Wang
  • , Shichao Wu
  • , Yahui Zhang
  • , Ying Wei
  • , Wei Wu
  • , Haobo Zhao
  • , Yuze Zhang
  • Northeastern University China

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.

源语言英语
主期刊名Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
出版商Institute of Electrical and Electronics Engineers Inc.
5042-5046
页数5
ISBN(电子版)9781538612439
DOI
出版状态已出版 - 6 7月 2018
已对外发布
活动30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, 中国
期限: 9 6月 201811 6月 2018

出版系列

姓名Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

会议

会议30th Chinese Control and Decision Conference, CCDC 2018
国家/地区中国
Shenyang
时期9/06/1811/06/18

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