Portal de Cartagena
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Giving orders to a machine without any action, not even speaking, only through thought, is the objective of the research being carried out by the Polytechnic University of Cartagena (UPCT) in the field of brain-computer interface systems and that has just been specified in a doctoral thesis that optimizes methodologies for the recognition of the electrical activity of the brain using algorithms.
The thesis of Francisco José Martínez Albaladejo, directed by Juan Luis García Guirao and Germán Rodríguez Bermúdez, has rehearsed at the University Center of Defense (CUD), attached to the UPCT, with volunteers without experience in the use of devices that Sensors placed on the scalp try to recognize patterns to identify the movements that the person is imagining.
The conclusion of the research is that the methodologies called 'extreme learning' are useful for new users, optimizing the learning process of the machine.
"The objective of the experiment is that if you are imagining that you move your right hand, the system will be able to identify it," explains Germán Rodríguez.
Brain-Computer Interface (BCI) systems allow control of external devices only with the electrical activity of the brain.
That is to say, they make it possible to send commands to the outside world without any muscle communication channel ", explains García Guirao.
"The objective of this thesis was to evaluate the suitability of the Extreme Learning Machines (ELM), which are a type of neural network, as a classifier for its application to BCI interfaces based on the imagination of the movement," he adds.
Source: UPCT
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