Aparato Locomotor

Vol 20 nº 4 Octubre/Diciembre 2009

Imprimir Histórico de publicaciones

Non-invasive cerebral interface to control a domotic system by disabled people

Azorín J M 1,
Iáñez E 1,
Sabater J M 1,
García N M 1,
Pérez C 1,
Fernández E 2

1 Virtual Reality and Robotics Lab.

2 Instituto de Bioingeniería. Universidad Miguel Hernández de Elche. Elche

Objetive: To develop an EEG-based non-invasive cerebral interface to differentiate between several mental states intentionally generated by a person with the purpose of controlling the domotic system of a house.

Material and method: 5 healthy volunteer subjects, all men between 23 and 28 years old, have participated in the study. Offline data have been collected, processed and classified in order to obtain the best configuration of the algorithms that allow differentiate between the mental states. Then, an emulation of the real time has been done to analyze the behaviour of the system and to measure the time required by the user to modify the options of the domotic system.

Results: in the offline tests, means % of 59.4% of success, a 27.7% of non-detection and a 12.9% of error have been obtained. In the online tests, the results have been improved. Means % of 70.7% of success, a 23.4% of non-detection and a 5.9% of error, and an average time required of 15 seconds to activate an option of the domotic menu have been obtained.

Conclusions: based on the results with the system we can conclude that the brain interface allows successfully control the domotic system.

Key words: BCI, EEG, domotic.


J. M. Azorín Poveda
Universidad Miguel Hernández de Elche
Avda. Universidad s/n. Edificio Quorum V. 03202 Elche (Alicante)

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