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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2351| 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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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 158. Gyroscope-driven mouse pointer with an EMOTIV EEG headset and data analysis based on Empirical Mode Decomposition.pdf | 2.18 MB | Adobe PDF | Visualizar/Abrir |