Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines

@article{Liang2007RealTimeDO,
  title={Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines},
  author={Yulan Liang and Michelle L. Reyes and John D. Lee},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2007},
  volume={8},
  pages={340-350}
}
As use of in-vehicle information systems (IVISs) such as cell phones, navigation systems, and satellite radios has increased, driver distraction has become an important and growing safety concern. A promising way to overcome this problem is to detect driver distraction and adapt in-vehicle systems accordingly to mitigate such distractions. To realize this strategy, this paper applied support vector machines (SVMs), which is a data mining method, to develop a real-time approach for detecting… CONTINUE READING
Highly Cited
This paper has 223 citations. REVIEW CITATIONS

10 Figures & Tables

Topics

Statistics

010203020082009201020112012201320142015201620172018
Citations per Year

224 Citations

Semantic Scholar estimates that this publication has 224 citations based on the available data.

See our FAQ for additional information.