Title :
P300-Based BCI Mouse With Genetically-Optimized Analogue Control
Author :
Citi, Luca ; Poli, Riccardo ; Cinel, Caterina ; Sepulveda, Francisco
Author_Institution :
IMT Inst. for Adv. Studies, Lucca
Abstract :
In this paper we propose a brain-computer interface (BCI) mouse based on P300 waves in electroencephalogram (EEG) signals. The system is analogue in that at no point a binary decision is made as to whether or not a P300 was actually produced in response to the stimuli. Instead, the 2D motion of the pointer on the screen, using a novel BCI paradigm, is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by an evolutionary algorithm.
Keywords :
biocontrol; electroencephalography; filtering theory; genetic algorithms; handicapped aids; man-machine systems; user interfaces; 2-D pointer motion; EEG; P300-based BCI mouse; brain-computer interface mouse; electroencephalogram signals; evolutionary algorithm; filter response; genetically-optimized analogue control; Brain–computer interfaces (BCIs); P300; genetic algorithms; mouse; Adult; Algorithms; Brain; Computer Graphics; Electrodes; Electroencephalography; Event-Related Potentials, P300; Female; Humans; Male; Psychomotor Performance; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2007.913184
