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Gyroscope-Driven Mouse Pointer with an EMOTIVᴿ EEG Headset and Data Analysis Based on Empirical Mode Decomposition
GERARDO ROSAS CHOLULA
JUAN MANUEL RAMIREZ CORTES
VICENTE ALARCON AQUINO
María del Pilar Gómez Gil
José de Jesús Rangel Magdaleno
CARLOS ALBERTO REYES GARCIA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Gyroscope-driven
Empirical mode decomposition
Kalman filter
Electroencephalographic signals
This paper presents a project on the development of a cursor control emulating the typical operations of a computer-mouse, using gyroscope and eye-blinking electromyographic signals which are obtained through a commercial 16-electrode wireless headset, recently released by Emotiv. The cursor position is controlled using information from a gyroscope included in the headset. The clicks are generated through the user’s blinking with an adequate detection procedure based on the spectral-like technique called Empirical Mode Decomposition (EMD). EMD is proposed as a simple and quick computational tool, yet effective, aimed to artifact reduction from head movements as well as a method to detect blinking signals for mouse control. Kalman filter is used as state estimator for mouse position control and jitter removal. The detection rate obtained in average was 94.9%. Experimental setup and some obtained results are presented.
Sensors
14-08-2013
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Rosas-Cholula, Gerardo, et al., (2013), Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition, Sensors, Vol. 13: 10561–10583
ELECTRÓNICA
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Artículos de Electrónica

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