Thermal Imaging for Facial Expression– Fatigue Detection
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Facial expressions play significant roles in our daily communication. Recognizing these expressions has extensive applications, such as human-computer interface, multimedia, and security. However, as the basis of expression recognition, the exploration of the underline functional facial features is still an open problem. Studies in psychology show that facial features of expressions are located around mouth, nose, and eyes, and their locations are essential for explaining and categorizing facial expressions. Moreover, expressions can be forcedly categorized into six popular "basic expressions": anger, disgust, fear, happiness, sadness and surprise. We develop a non-intrusive system for monitoring fatigue by tracking eyelids with a single web camera. Each of these basic expressions can be further decomposed into a set of several related action units (AUs).
Authors and Affiliations
VS. Elanthendral, R. K. Rekha, M. Rameshkumar
Keywords
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- EP ID EP19151
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