Multi-Classifier for Highly Reliable Driver Drowsiness Detection in Android Platform

Engineering & Materials Science

• Alarm systems 16%
• Bayesian networks 14%
• Cameras 10%
• Classifiers 51%
• Eye movements 16%
• Fatigue of materials 40%
• Genetic algorithms 10%
• Independent component analysis 16%
• Information fusion 16%
• Monitoring 8%
• Neural networks 8%
• Photoplethysmography 20%
• Sensors 7%
• Smartphones 27%
• Support vector machines 11%
• Testing 7%
• Wheels 11%
• Wireless sensor networks 11%

Medicine & Life Sciences

• Equipment and Supplies 32%
• Eye Movements 18%
• Fatigue 61%
• Photoplethysmography 26%
• Smartphone 44%
• Support Vector Machine 22%

Chemical Compounds

• Classifier 100%