Multiresolution Proportional Control for a 2GDL Robot through a BCI System
Abstract
The complications of many people with some kind of motor disability when it comes to doing their daily task, has aroused the interest of investigating brain commands and understanding the brain signals generated by a defined task, the goal is to transform these brain commands into input commands to robotic systems that help to improve people's quality of life automatically. There is currently a large amount of research that addresses the topic of BCI systems, these continue to present limitations when it comes to real-time implementation by the characterization of EEG signals and high computational consumption. The main objective of this work is to show the Multiresolution wavelet tool for the processing of the cerebral signals and, on the other hand, the implementation of a Proportional Multiresolution Control that facilitates to close the loop of the BCI system in Real time, and thus improve the current results.
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