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Real Time Blinking Detection Based on Gabor Filter
Kohei Arai, Ronny Mardiyanto
Pages - 33 - 45     |    Revised - 30-11-2010     |    Published - 20-12-2010
Volume - 1   Issue - 3    |    Publication Date - December 2010  Table of Contents
Blinking, Gabor Filter, Eye Arc
New method of blinking detection is proposed. The utmost important of blinking detections method is robust against different users, noise, and also change of eye shape. In this paper, we propose blinking detections method by measuring of distance between two arcs of eye (upper part and lower part). We detect eye arcs by apply Gabor filter onto eye image. As we know that Gabor filter has advantage on image processing application since it able to extract spatial localized spectral features, such line, arch, and other shape are more easily detected. After two of eye arcs are detected, we measure the distance between both by using connected labeling method. The open eye is marked by the distance between two arcs is more than threshold and otherwise, the closed eye is marked by the distance less than threshold. The experiment result shows that our proposed method robust enough against different users, noise, and eye shape changes with perfectly accuracy.
CITED BY (16)  
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8 Arai, K., & Mardiyanto, R. (2013). Method for psychological status estimation by gaze location monitoring using eye-based human-computer interaction. Editorial Preface, 4(3).
9 Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
10 Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
11 Dinh, H., Jovanov, E., & Adhami, R. (2012). Eye blink detection using intensity vertical projection. In International Multi-Conference on Engineering and Technological Innovation: IMETI.
12 Arai, K. (2012). Method for leaning efficiency improvements based on gaze location notifications on e-learning content screen display. International Journal of Advanced Research in Artificial Intelligence, 1(3), 1-6.
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14 Kohei Arai, & Mardiyanto, R. (2012). Robot arm control and feeding support system based on the line-of-sight input. The Institute of Electrical Engineers Journal C (Electronics and Information Systems Division magazine), 132 (3), 416-423.
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Professor Kohei Arai
Saga University - Japan
Mr. Ronny Mardiyanto
Institut Teknologi Sepuluh Nopember - Japan

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