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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Brain-Robot Interface for Controlling a Remote Robot Arm
verfasst von : Eduardo Iáñez, M. Clara Furió, José M. Azorín, José Alejandro Huizzi, Eduardo Fernández
Erschienen in: Bioinspired Applications in Artificial and Natural Computation
Verlag: Springer Berlin Heidelberg
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This paper describes a technique based on electroencephalography (EEG) to control a robot arm. This technology could eventually allow people with severe disabilities to control robots that can help them in daily living activities. The EEG-based Brain Computer Interface (BCI) developed consists in register the brain rhythmic activity through a electrodes situated on the scalp in order to differentiate one cognitive process from rest state and use it to control one degree of freedom of the robot arm. In the paper the processing and classifier algorithm are described and an analysis of their parameters has been made with the objective of find the optimum configuration that allow obtaining the best results.