Design and Development of Human Fatigue Evaluation Method and Equipment Based on Bayesian Network Classifier

Based on the current high-performance, low-power, high computing density processor, on the basis of analysing the main fatigue characteristics of human body, combined with real-time image processing technology, data processing technology and machine learning related theories and algorithms, this paper studies a fast and accurate method to identify the mental state of other people. Base d on the method, a portable or wearable on-line monitoring device for eye movement and head movement parameters is designed, which can continuously monitor the wearer for a long time and achieve the function expectation of real-time judging the wearer's awakening state.