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

  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},
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
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