Thermal Imaging for Facial Expression– Fatigue Detection

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

Related Articles

slugGrid Based Coverage Algorithm Using GPSR In Wireless Sensor Network

Maintain long network lifetime of the wireless sensor network without affecting either coverage or connectivity is one of the issues in WSN. Redundant nodes in dense sensor network of the WSN wastes large amount of e...

Advanced Composite Materials of the Future in Aerospace Engineering

Though there is a tremendous progress in the discipline of material science and engineering,still remains technological challenges, including the development of even more sophisticated and specialized materials such as...

Anaerobic digestion of Municipal Solid biodegradable wastes for methane production:A Review

The untreated and undisposed municipal solid waste generated through different sources is a major concern of the world now-a-days. There are millions of tonnes of municipal solid waste produced every year and the amount...

A Comparative Study of the Effect of Various Cryogenic Treatments on the Performance of Tungsten Carbide Inserts

In this work aims to study the performance of the cryogenic treatment on the tungsten carbide inserts tools (Shallow cryogenic treated and Deep cryogenic treated) compared to the untreated tool for machining the AISI 10...

slugManufacturing of 64-Bit Vliw Microprocessor

In the two decades since FPGAs introduced, the way which digital logic is designed and deployed has been radically changed. FPGAs have made possible entirely new types of applications. It is very important to design mi...

Download PDF file
  • EP ID EP19151
  • DOI -
  • Views 290
  • Downloads 9

How To Cite

VS. Elanthendral, R. K. Rekha, M. Rameshkumar (2014). Thermal Imaging for Facial Expression– Fatigue Detection. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(12), -. https://www.europub.co.uk/articles/-A-19151