Non-Invasive Brain-Computer Interface Based on Evoked Potentials for Controlling a Robotic Arm

作者：Sirvent Jose L^*; Azorin Jose M; Ianez Eduardo; Ubeda Andres; Fernandez Eduardo

来源：Revista Iberoamericana de Automatica e Informatica Industrial, 2011, 8(2): 103-+.

DOI：10.4995/RIAI.2011.02.13

• brain-computer interface
• human-robot interface
• robotic arm
• control
• evoked potentials

This paper describes a Brain-Computer Interface (BCI) for controlling a robotic arm. The system uses electroencephalographic signals (EEG) recorded with 16 electrodes for controlling the robot with visual evoked potentials, using the P300 and N2pc paradigm. By this way, using visual stimuli, the user Is able to control the robot movement focusing his attention in the different options shown in a screen. The system has been tested satisfactory by three healthy users. Each of them did several tasks of pick-and-place of objects, controlling a robot of 6 degrees of freedom.

• 出版日期2011-4