A driver fatigue recognition model based on information fusion and dynamic Bayesian network

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

“…I te e tio ist o a ti e safet systems include automatic distance-keeping; emergency braking; traction control and braking control systems, person and bicycle recognition systems; lane-keeping systems and other measures designed to rescue the vehicle and its occupants from a potentially catastrophic situation. A slightly different stance is taken with driver monitoring systems such as those intended to detect drowsiness or intoxication from alcohol (Yang et al, 2010). These systems do not relieve the driver of any responsibility, but may in some applications prevent the car from being driven or bring it to a halt.…”

Visual fatigue measurement model in stereoscopy based on Bayesian network

“…20,21 This scheme is considered the relatively objective method for visual measurement. Physiological features may be classified into: The contactless and the contact features.…”

“…By considering the evidence and beliefs of the contextual information and physiological features from measurement, Ji et al 22 construct a BN-based algorithm to infer and predict the fatigue of human beings, enhancing the reliability of fatigue detection. Yang et al 20 develop a BN-based fatigue recognition model to be used in systems that evolve over time. However, such visual fatigue network in Refs.…”

Investigation of vehicle crash modeling techniques: theory and application

“…Different types of activation functions have been used and their effects on the network's overall performance have been evaluated. Bayesian network was successfully applied to recognize driver fatigue recognition as well [23]. Since aforementioned neural networks have high capabilities for the signals prediction purposes, they are commonly used, e.g., in machine diagnostics and failure detection.…”