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 language | English |
|---|---|
| Article number | 6461528 |
| Pages (from-to) | 161-176 |
| Number of pages | 16 |
| Journal | IEEE Transactions on Human-Machine Systems |
| Volume | 43 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Brain-computer interface (BCI)
- Brain-controlled mobile robot
- EEG
- Human factors
- Performance evaluation
- Shared control
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