Detection of fatigue of vehicular driver using skin conductance and oximetry pulse: a neural network approach

  title={Detection of fatigue of vehicular driver using skin conductance and oximetry pulse: a neural network approach},
  author={Mahesh M. Bundele and Rahul Banerjee},
Vehicular accidents are increasingly contributing towards loss of lives across the world. Timely detection of physiological and psychological parameters of the vehicular driver, which could cause various levels of physical and mental fatigue that lead to slower reflexes is therefore extremely important. As part of an ambitious research initiative, India is developing a pervasive computing solution for eliminating / reducing such accidents. As one of the component of such solution, a wearable… CONTINUE READING
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Can SVM be used for automatic EEG detection of drowsiness during car driving

  • Mervyn, V. M. Yeo a, +5 authors Wilder-Smith
  • Journal of Safety Science, Elsevier
  • 2009
Highly Influential
11 Excerpts

Identification of Body Parameters for changes in Reflexes of a vehicular driver under Drowsiness / Fatigue / Stress Conditions

  • Bundele, M Mahesh
  • In Proceeding of the National Conference FRONTIER…
  • 2008
Highly Influential
11 Excerpts

Neural Network based Sensor for Classification of Material Type and its Surface Properties

  • Charniya, N Nadir, S. V. Dudul
  • Proceeding of International Joint Conference on…
  • 2007
Highly Influential
11 Excerpts

On the capabilities of multilayer perceptrons

  • E. B. Baum
  • Journal of Complexity-4,
  • 1988
Highly Influential
12 Excerpts

Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients

  • Abdulhamit, Subasi
  • Expert Systems with Applications
  • 2005
Highly Influential
3 Excerpts

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