Title :
Alertness monitor using neural networks for EEG analysis
Author :
Wilson, Beth J. ; Bracewell, Thomas D.
Author_Institution :
Raytheon Co., Sudbury, MA, USA
Abstract :
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
Keywords :
electroencephalography; medical signal processing; neural nets; safety; wavelet transforms; EEG analysis; alert state; binary decision; display vigilance; drowsy state; human alertness monitor; medical signal processing; modified feature vector; neural networks; safety; vehicle operation; wavelet representations; Acoustic sensors; Chemical sensors; Electroencephalography; Monitoring; Neural networks; Sensor phenomena and characterization; Signal processing algorithms; Sleep; Tuning; Vehicle safety;
Conference_Titel :
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6278-0
DOI :
10.1109/NNSP.2000.890161
