Electroencephalography(EEG)-based instinctive brain-control of a quadruped locomotion robot Conference

Jia, W, Huang, D, Luo, X et al. (2012). Electroencephalography(EEG)-based instinctive brain-control of a quadruped locomotion robot . 1777-1781. 10.1109/EMBC.2012.6346294

cited authors

  • Jia, W; Huang, D; Luo, X; Pu, H; Chen, X; Bai, O

fiu authors

abstract

  • Artificial intelligence and bionic control have been applied in electroencephalography (EEG)-based robot system, to execute complex brain-control task. Nevertheless, due to technical limitations of the EEG decoding, the brain-computer interface (BCI) protocol is often complex, and the mapping between the EEG signal and the practical instructions lack of logic associated, which restrict the user's actual use. This paper presents a strategy that can be used to control a quadruped locomotion robot by user's instinctive action, based on five kinds of movement related neurophysiological signal. In actual use, the user drives or imagines the limbs/wrists action to generate EEG signal to adjust the real movement of the robot according to his/her own motor reflex of the robot locomotion. This method is easy for real use, as the user generates the brain-control signal through the instinctive reaction. By adopting the behavioral control of learning and evolution based on the proposed strategy, complex movement task may be realized by instinctive brain-control. © 2012 IEEE.

publication date

  • December 14, 2012

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

  • 9781424441198

start page

  • 1777

end page

  • 1781