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Analysis of a commercial EEG device for the control of a robot arm

Gregory N. Ranky, S. V. Adamovich

Year
2010
Citations
82

Abstract

A BMI using Electroencephalography (EEG) input, known as the Emotiv EPOC¿ was tested with an external robotic arm to determine if it was suitable for control of peripherals. Within 2 weeks of training, subjects maintained or improved axial control of the robot arm, and reduced their overall performance time. Although the EPOC¿ does require further testing and development, its adaptability to multiple software programs, users and peripherals allows it to serve both Virtual Rehabilitation and device control in the immediate future.

Keywords

ElectroencephalographyAdaptabilityComputer scienceBrain–computer interfaceRobotic armSoftwareControl (management)RobotSimulationPhysical medicine and rehabilitation

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