Drowsiness monitoring based on driver and driving data fusion

@article{Daza2011DrowsinessMB,
  title={Drowsiness monitoring based on driver and driving data fusion},
  author={Iv{\'a}n Garcia Daza and Noelia Hern{\'a}ndez and Luis Miguel Bergasa and Ignacio Parra and J. Javier Yebes and Miguel Gavil{\'a}n and Ra{\'u}l Quintero and David Fern{\'a}ndez Llorca and Miguel {\'A}ngel Sotelo},
  journal={2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
  year={2011},
  pages={1199-1204}
}
This paper presents a non-intrusive approach for monitoring driver drowsiness, based on driver and driving data fusion. The Percentage of Eye Closure (PERCLOS) is used to estimate the driver's state. The PERCLOS is computed on real time using a stereo vision-based system. The driving information used is the lateral position, the steering wheel angle and the heading error provided by the CAN bus. These three signals have been studied in the time and frequency domain. A multilayer perceptron… CONTINUE READING

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