Driver fatigue detection using a genetic algorithm

Artificial Life and Robotics

Volumn 11, Issue 1, 2007, Pages 87-90

  Jin, Shanshan ^a   Park, So Youn ^a   Lee, Ju Jang ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Driver fatigue; Genetic algorithm; Neural network

Indexed keywords

EID: 33846556300     PISSN: 14335298     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10015-006-0406-8     Document Type: Article

References (5)

1. Wang R, Guo K, Shi S, et al. (2003) A monitoring method of driver fatigue behavior based on machine vision. Proceedings of the IEEE Intelligent Vehicles Symposium, June 9-11, Columbus, Ohio, USA, pp 110-113
2. Haisong G, Qiang J, and Zhiwei Z (2002) Active facial tracking for fatigue detection. Proceedings, Applications of Computer Vision, 6th IEEE Workshop, December 3-4, Orlando, Florida, USA, pp 137-142
3. D'Orazio T, Leo M, Spagnolo P, et al. (2004) A neural system for eye detection in a driver vigilance application. Proceeding, Intelligent Transportation Systems, 7th International IEEE Conference, October 3-6, Washington, D.C., USA, pp 320-325
4. Zhiwei Z, Qiang J (2004) Real time and non-intrusive driver fatigue monitoring. Proceedings, Intelligent Transportation Systems, 7th International IEEE Conference, October 3-6, Washington, D.C., USA, pp 657-662
5. Hashim MF, Saad P, Juhari MRM, et al. (2005) A face recognition system using template matching and neural network classifier. 1st International Workshop on Artificial Life and Robotics, May 14-15, Leanggaloo, Malaysia, pp 1-6