Abstract
The international statistics show that a large number of road accidents are caused by driver fatigue. A system that can detect oncoming worker fatigue could help in preventing many accidents. Many researchers focused to measure separately different physiological changes like eye blinking or head movement. Uncomfortable EEG analysis is also discussed in this field. In presented paper, we describe a simple, non-intrusive system for detection of worker fatigue. The system, based on Inverse Compositional Active Appearance Models (ICAAM) method, allows for comprehensive analysis of the face shape and its basic elements.
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CITATION STYLE
Rodzik, K., & Sawicki, D. (2015). Recognition of the human fatigue based on the ICAAM algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9280, pp. 373–382). Springer Verlag. https://doi.org/10.1007/978-3-319-23234-8_35
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