Drowsy Driving Detection by EEG Analysis Using Wavelet Transform and K-means Clustering

Author:

Gurudath Nikita,Riley H. Bryan

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. NHTSA, “Drowsy driver detection and warning system for commercial vehicle drivers: Field proportional test design, analysis, and progress,” http://www.nhtsa.dot.gov/. Accessed on January 30th, 2014.

2. National Sleep Foundation, “Facts and Stats,” http://drowsydriving.org/about/facts-and-stats/. Accessed on January 30th, 2014.

3. L. Chin Teng, W. Ruei-Cheng, S.-F. Liang, W.-H. Chao, Y.-J. Chen and T.-P. Jung, “EEG based drowsiness estimation for safety driving using independent component analysis,” IEEE Transactions on [Circuits and Systems I: Fundamental Theory and Applications], vol. 52, no. 12, pp. 2726-2738, 2005.

4. Centres for Disease Control and Prevention (CDC). Drowsy driving - 19 states and the District of Columbia, 2009-2010. MMWR. 2013; 61:1033-7, Accessed January 4, 2013.

5. Lin C T, “Assessment of driver's driving performance and alertness using EEG-based fuzzy neural networks Circuits and Systems,“IEEE International Symposium on Circuits and Systems, vol. 1, pp. 152-155, 2005.

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