INVESTIGADORES
CARELLI ALBARRACIN Ricardo Oscar
artículos
Título:
Human-machine interfaces based on EMG and EEG applied to robotic systems
Autor/es:
ANDRÉ FERREIRA; WANDERLEY CELESTE; FERNANDO AUAT; TEODIANO FREIRE; MARIO SARCINELLI; RICARDO CARELLI
Revista:
Journal of NeuroEngineering and Rehabilitation
Editorial:
BioMed Central
Referencias:
Año: 2008 vol. 5 p. 1 - 15
Resumen:
Two different Human-Machine Interfaces (HMIs) were developed, both based on electro-biological signals. One is based on the EMG signal and the other is based on the EEG signal. Two major features of such interfaces are their relatively simple data acquisition and processing systems, which need just a few hardware and software resources, so that they are, computationally and financially speaking, low cost solutions. Both interfaces were applied to robotic systems, and their performances are analyzed here. The EMG-based HMI was tested in a mobile robot, while the EEG-based HMI was tested in a mobile robot and a robotic manipulator as well.
