Using a low-cost electroencephalograph for task classification in HCI research
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
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ANIMA has as a primary objective to compare three nonconventional human com-puter interfaces that comply with the industrial robot ST Robotics R-17 instructions. This mod-ule, Alpha Waves Related Potentials - ARP- explains how brain waves are obtained, processed, analyzed and identified depending on their frequency. This module makes use of the Open EEG Project's open hardware monitor for brain wave activity, called the modular EEG. The brain waves are obtained through an electrode cap complying with the international 10-20 system for electrode positioning. The brain waves are processed with a fast Fourier transform using a microcontroller and analyzed in software identifying the alpha wave's contribution. A program identifies the amount of time that alpha wave generation was maintained through concentration, and instructions are sent to the robotic arm, executing one of four pre-defined routines. Thirty percent of the users attained control over the robotic arm with the human computer interface.