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Invited Speaker: Prof. Stéphane Binczak

Invited Speaker: Prof. Stéphane  Binczak

Invited Speaker: Prof. Stéphane Binczak

Eye blink detection and characterization from EEG signals, a wavelet based approach

Stephane Binczak received his Ph.D. degree from the University of Burgundy Franche-Comte, Dijon, France, in 1999. He has been an assistant professor with the University of Burgundy Franche- Comte since 2000, where he became a full professor in 2009, and is also a member of the IFTIM Group with the Laboratory of Image, Vision and Artificial Intelligence (ImVIA). His current research interests include electronics, nonlinear models and signals, applied to biological and biomorphic systems.

https://imvia.u-bourgogne.fr/equipe/stephane-binczak

Eye blink detection and characterization from EEG signals, a wavelet based approach

Detection of eye blinks, for the BCI, can be used for control or diagnosis of the subject, the notion of real time and robustness of the detection are essential in contexts of detection of sleepiness or action performing. The characterization of these bio-signals could bring a higher degree of control. Therefore a reliable and robust method, based on continuous wavelet transform is developed to detect and characterize in real time blinks by non-invasive electroencephalography with dry electrodes at low financial and material cost. In this article we show that it is possible to detect and characterize eye blinks using only the electrical signal from an open source dry electrode EEG headset. One of the goals of this research is to take electroencephalography and BCI in general out of the clinical settings. The constraints of portability and size have been taken into account. Moreover, as the notion of real time in BCI is important, the proposed methods are designed for low resource consumption.