Abstract
Matlab is a well-known tool for processing images. It provides engineers, scientists, and researchers with an intuitive, flexible environment for solving complex imaging problems. For measurement of human’s fatigue level, the images for the eyelid blinking or mouth yawning can be processed using Matlab in order to exhibit that the human is fatigue or not. This paper discusses the algorithm that combines 2 factors (eyelid blinking and mouth yawning) for measurement of human’s fatigue level. The purpose of combining these 2 factors is to get a better measurement of the level of human fatigue due to drowsiness. The process and activities in this algorithm are elaborated in details as a guide and reference to build a prototype using Matlab programming language software. Insight acquired through this study is expected to be useful for the development of simulation. This research and invention will be a technological solution to address some human problems such as accident prevention and safety for transportation used and also for educational area.
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Mohd Noor, H.A., Ibrahim, R. (2010). Fatigue Detector Using Eyelid Blinking and Mouth Yawning. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_17
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DOI: https://doi.org/10.1007/978-3-642-15907-7_17
Publisher Name: Springer, Berlin, Heidelberg
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