EEG-based brain-controlled mobile robots: A survey

Luzheng Bi, Xin An Fan, Yili Liu

Research output: Contribution to journalArticlepeer-review

328 Citations (Scopus)

Abstract

EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In this paper, we provide a comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues. We first review and classify various complete systems of braincontrolledmobile robots into two categories fromthe perspective of their operational modes.We then describe key techniques that are used in these brain-controlled mobile robots including the braincomputer interface techniques and shared control techniques. This description is followed by an analysis of the evaluation issues of brain-controlled mobile robots including participants, tasks and environments, and evaluation metrics. We conclude this paper with a discussion of the current challenges and future research directions.

Original languageEnglish
Article number6461528
Pages (from-to)161-176
Number of pages16
JournalIEEE Transactions on Human-Machine Systems
Volume43
Issue number2
DOIs
Publication statusPublished - Mar 2013

Keywords

  • Brain-computer interface (BCI)
  • Brain-controlled mobile robot
  • EEG
  • Human factors
  • Performance evaluation
  • Shared control

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