This paper present different perspectives of modeling the fatigue in any working individual. Mood detection and fatigue detection is based on lot of parameter like facial expression , voice tone known as speech synthesis, eye movements and gestures etc. This paper highlights the most expressive way of humans to display emotions and fatigue that is through facial expressions. This paper proposes fatigue detection and show the implementation face component segregation.

1. Lal, S. K. L. , Craig,"Development of an Algorithm for an EEG-based Driver Fatigue Countermeasure," Journal of Safety Research, vol. 34, pp. 321-328, 2003.
2. Akira Kuramori, Noritaka Koguchi, "Evaluation of Effects of Drivability on Driver Workload by Using Elec- tromyogram," JSAE Review, vol. 25, pp. 91-98, 2004.
3. Byung-Chan Chang, Jung-Eun Lim, Hae-Jin Kim, et al, "A Study of Classification of the Level of Sleepiness for the Drowsy Driving Prevention," Proc. SICE Annual Conference, pp. 3084-3089, 2007.
4. Yoshihiro Takei, and Yoshimi Furu- kawa, "Estimate of driver's fatigue through steering motion," Proc. IEEE International Conference on Systems, Man and Cybernetics, vol. 2, pp. 1765-1770, 2005.
5. Erez Dagan, Ofer Mano, Gideon P. Stein, "Forward Collision Warn- ing with a Single Camera," Proc. In- telligent Vehicles Symposium, pp. 37- 42, 2004.
6. Nikolaos P, "Vision-based Detection of Driver Fatigue," Proc. IEEE Inter- netional Conference on Intelligent Transportation, 2000.
7. Wen-Bing Horng, Chih-Yuan Chen, Yi Chang, et al, "Driver Fatigue De- tection Based on Eye Tracking and Dynamic Template Matching," Proc. of the 2004 IEEE International Con- ference on Networking, Sensing & Control, pp. 7-12, 2004
8. Zutao Zhang, Jiashu Zhang, "A New Real-Time Eye Tracking for Driver Fatigue Detection," Proc. 2006 6th In- ternational Conference on ITS Tele- communications, pp8-11,2006.
9. Abdelfattah Fawky, Sherif Khalil, and Maha Elsabrouty, "Eye Detection to Assist Drowsy Drivers," IEEE. pp. 131-134, 2007.
10. Qiang Ji, Zhiwei Zhu, and Peilin Lan, "Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue," IEEE Transaction on vehicular tech- nology, vol. 53, no. 4, pp. 657-662, 2004.
11. Wen-Hui Dong, Xiao-Juan Wu, "Driver Fatigue Detection Based on the Distance of Eyelid," Proc. IEEE Int. Workshop VLSI Design & Video, Tech. , pp. 28-30 , 2005
12. Yong Du 1Peijun Ma 1Xiaohong Su 1 Yingjun Zhang 1, "Proceedings of the 11th Joint Conference on Information Sciences (2008)" Published by Atlantis Press.
13. Suvarna Hajare, "Analyzing the Biosignal to Make Fatigue Measurement as a parameter for Mood Detection", 2nd National Conference on Information and Communication Technology (NCICT) 2011 Proceedings published in International Journal of Computer Applications (IJCA)
14. Suwarna Hajare , "(IJCSIT) International Journal of Computer Science and Information Technologies", Vol. 3 (3) , 2012,4469 - 4472-4469
15. Industry & Investment NSW for and on behalf of The State of NSW –2009"Development and implementation of a Fatigue Management Plan for the NSW mining and extractives industry" ,December 2009, version 1. 0.

Pattern Matching Face Segregation Face Recognition.