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Information 2018, 9(4), 93; https://doi.org/10.3390/info9040093

Robust Eye Blink Detection Based on Eye Landmarks and Savitzky–Golay Filtering

Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK
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Received: 11 March 2018 / Revised: 29 March 2018 / Accepted: 9 April 2018 / Published: 15 April 2018
(This article belongs to the Special Issue Selected Papers from ICBRA 2017)
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Abstract

A new technique to detect eye blinks is proposed based on automatic tracking of facial landmarks to localise the eyes and eyelid contours. Automatic facial landmarks detectors are trained on an in-the-wild dataset and shows an outstanding robustness to varying lighting conditions, facial expressions, and head orientation. The proposed technique estimates the facial landmark positions and extracts the vertical distance between eyelids for each video frame. Next, a Savitzky–Golay (SG) filter is employed to smooth the obtained signal while keeping the peak information to detect eye blinks. Finally, eye blinks are detected as sharp peaks and a finite state machine is used to check for false blink and true blink cases based on their duration. The efficiency of the proposed technique is shown to outperform the state-of-the-art methods on three standard datasets. View Full-Text
Keywords: eye blink detection; signal processing; video analysis eye blink detection; signal processing; video analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Al-gawwam, S.; Benaissa, M. Robust Eye Blink Detection Based on Eye Landmarks and Savitzky–Golay Filtering. Information 2018, 9, 93.

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