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Control of a Mobile Robot Through Brain Computer Interface

Róbinson Jiménez Moreno, Jorge Rodríguez Alemán

Year
2015
Citations
6
Access
Open access

Abstract

This paper poses a control interface to command the movement of a mobile robot according to signals captured from the user's brain. These signals are acquired and interpreted by Emotiv EPOC device, a 14-electrode type sensor which captures electroencephalographic (EEG) signals with high resolution, which, in turn, are sent to a computer for processing. One brain-computer interface (BCI) was developed based on the Emotiv software and SDK in order to command the mobile robot from a distance. Functionality tests are performed with the sensor to discriminate shift intentions of a user group, as well as with a fuzzy controller to hold the direction in case of concentration loss. As conclusion, it was possible to obtain an efficient system for robot movements.

Keywords

Brain–computer interfaceComputer scienceMobile robotHuman–computer interactionInterface (matter)Control (management)Robot controlRobotPsychologyArtificial intelligence

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