Abstract
Estimation of electrooculography (EOG) and blinking signals are important for medical applications and non–medical, like computer animation. Both signals are measured together using set of electrodes and the separation of them is necessary. Filter banks based technique for the estimation of EOG and blinking signals is considered. The gradient search allows estimation of the height and width of blinking pulses and the slopes between saccades. Improved detection related to the time domain of saccades is proposed too.
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Krupiński, R., Mazurek, P. (2012). Estimation of Electrooculography and Blinking Signals Based on Filter Banks. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_19
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DOI: https://doi.org/10.1007/978-3-642-33564-8_19
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