2017
DOI: 10.1007/978-3-319-56994-9_38
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Brain-Controlled Wheelchair Through Discrimination of Two Mental Tasks

Abstract: This paper presents a Brain-Computer Interface (BCI) system that enables people to drive a robotic wheelchair without performing any muscular movement, but solely based in the mental activity. Through specific mental tasks, subjects can control theirelectroencephalographic (EEG) signals, which are analyzed and processed by the BCI system in order to generate navigation commands. The control paradigm relies on only two mental tasks but it allows subjects to choose among four different commands; this way, the cl… Show more

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Cited by 3 publications
(6 citation statements)
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“…The subject initially participated in one initial training session for calibration purposes in which, immersed in a virtual environment (VE), he had to control the displacement of a car to the right through right hand motor imagery (MI) task, or to maintain the car in a straight line through a relaxed state [5], [6]. Signal processing consisted of extracting EEG parameters and classifying them according to the two mental tasks.…”
Section: B Initial Training and Signal Processingmentioning
confidence: 99%
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“…The subject initially participated in one initial training session for calibration purposes in which, immersed in a virtual environment (VE), he had to control the displacement of a car to the right through right hand motor imagery (MI) task, or to maintain the car in a straight line through a relaxed state [5], [6]. Signal processing consisted of extracting EEG parameters and classifying them according to the two mental tasks.…”
Section: B Initial Training and Signal Processingmentioning
confidence: 99%
“…The navigation paradigm was identical to the one used in [5], [6]. In order to control the wheelchair, a graphical interface was presented to the users in order to offer them several navigation commands, which were selected through…”
Section: Navigation Paradigmmentioning
confidence: 99%
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