The invention discloses a driving fatigue monitoring method based on 
human body multi-class characteristics. The driving fatigue monitoring method comprises driver electroencephalogram 
signal monitoring and driver 
head posture monitoring. The driver electroencephalogram 
signal monitoring comprises the steps that an entropy value is calculated through electroencephalogram signals, and electroencephalogram 
signal driving fatigue monitoring indexes are formed through 
dimensionality reduction; according to driver 
head posture information monitoring, a miniature 
infrared temperature sensor is usedfor recording driver 
head posture information, and head posture driving fatigue monitoring indexes are generated; and finally, the correlation between the electroencephalogram 
signal monitoring indexes and the head posture 
information monitoring indexes are analyzed by using Pearson 
correlation analysis, and the influence of various interferences on the monitoring indexes is lowered, thereby forming comprehensive driving fatigue monitoring of various characteristics of the driver. The method is high in recognition degree, the 
system is easy to establish, the method is easy to implement, the purpose of more accurately monitoring the fatigue state of the driver is achieved, and traffic hidden dangers caused by driving fatigue are reduced. The method has the advantages of being scientific, reasonable, high in applicability and good in effect.