Alertness monitor using neural networks for EEG analysis

The goal is to detect the instance at which a person has lost the level of alertness necessary to assure safe operation of a vehicle or display vigilance. A neural network is proposed to detect the onset of this signal characteristic. The input to this neural network system is a modified feature vector composed of the associated wavelet representations at different scales. The output of the neural network is a binary decision as to whether the EEG represents an alert state or a drowsy state.