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Sensors 2013, 13(8), 10561-10583; doi:10.3390/s130810561

Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition

1
Department of Electronics, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro No. 1, Tonantzintla, Puebla 72760, Mexico
2
Department of Electronics and Computer Science, Exhda. Sta. Catarina Martir, Cholula, University of the Americas, Puebla, Puebla 72720, Mexico
3
Department of Computer Science, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro No. 1, Tonantzintla, Puebla 72760, Mexico
*
Author to whom correspondence should be addressed.
Received: 30 June 2013 / Revised: 2 August 2013 / Accepted: 6 August 2013 / Published: 14 August 2013
(This article belongs to the Section Physical Sensors)

Abstract

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.
Keywords: gyroscope-driven; empirical mode decomposition; Kalman filter, electroencephalographic signals gyroscope-driven; empirical mode decomposition; Kalman filter, electroencephalographic signals
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Rosas-Cholula, G.; Ramirez-Cortes, J.M.; Alarcon-Aquino, V.; Gomez-Gil, P.; Rangel-Magdaleno, J.J.; Reyes-Garcia, C. Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition. Sensors 2013, 13, 10561-10583.

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