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An early warning system for predicting driver fatigue

Driver fatigue is one of the main causes of traffic accidents. An early warning system for driver fatigue can effectively reduce the incidence of accidents. This study uses continuous physiological data to train a fatigue analyzer such that it learns the pattern change. As a result, the system can predict fatigue beforehand. For the purpose of early warning, the weights in weighted moving average are dynamically adjusted. As a result, prediction accuracy is also improved.