DocumentCode :
741874
Title :
EEG-Based Brain-Controlled Mobile Robots: A Survey
Author :
Luzheng Bi ; Xin-an Fan ; Yili Liu
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
Volume :
43
Issue :
2
fYear :
2013
fDate :
3/1/2013 12:00:00 AM
Firstpage :
161
Lastpage :
176
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 brain-controlled mobile robots into two categories from the perspective of their operational modes. We then describe key techniques that are used in these brain-controlled mobile robots including the brain-computer 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.
Keywords :
electroencephalography; handicapped aids; medical signal processing; mobile robots; EEG-based brain-controlled mobile robots; brain-computer interface techniques; disabled people; evaluation issue analysis; operational modes; shared control techniques; Collision avoidance; Electroencephalography; Mobile robots; Robot sensing systems; Wheelchairs; Brain-computer interface (BCI); EEG; brain-controlled mobile robot; human factors; performance evaluation; shared control;
fLanguage :
English
Journal_Title :
Human-Machine Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2291
Type :
jour
DOI :
10.1109/TSMCC.2012.2219046
Filename :
6461528
Link To Document :
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