Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition. Rosas-Cholula, G., Ramirez-Cortes, J., Alarcon-Aquino, V., Gomez-Gil, P., Rangel-Magdaleno, J., & Reyes-Garcia, C. Sensors, 13(8):10561-10583, 8, 2013. Website doi abstract bibtex 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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
@article{
title = {Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition},
type = {article},
year = {2013},
keywords = {Electroencephalographic signals,Empirical mode decomposition,Gyroscope-driven,Kalman filter},
pages = {10561-10583},
volume = {13},
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month = {8},
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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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.},
bibtype = {article},
author = {Rosas-Cholula, Gerardo and Ramirez-Cortes, Juan and Alarcon-Aquino, Vicente and Gomez-Gil, Pilar and Rangel-Magdaleno, Jose and Reyes-Garcia, Carlos},
doi = {10.3390/s130810561},
journal = {Sensors},
number = {8}
}
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