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Title: Automatic Eye Blink Detection Using Consumer Web Cameras
Authors: Beatriz Remeseiro López
Issue Date: 2015
Abstract: This research aims to advance blinking detection in the context of work activity. Rather than patients having to attend a clinic, blinking videos can be acquired in a work environment, and further automatically analyzed. Therefore, this paper presents a methodology to perform the automatic detection of eye blink using consumer videos acquired with low-cost web cameras. This methodology includes the detection of the face and eyes of the recorded person, and then it analyzes the low-level features of the eye region to create a quantitative vector. Finally, this vector is classified into one of the two categories considered - open and closed eyes-by using machine learning algorithms. The effectiveness of the proposed methodology was demonstrated since it provides unbiased results with classification errors under 5%.
metadata.dc.type: conferenceObject
Appears in Collections:C-BER - Articles in International Conferences

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