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International Journal of Automotive Technology > Volume 17(1); 2016 > Article
International Journal of Automotive Technology 2016;17(1): 165-173.
doi: https://doi.org/10.1007/s12239-016-0016-y
DROWSY BEHAVIOR DETECTION BASED ON DRIVING INFORMATION
M. S. WANG1, N. T. JEONG1, K. S. KIM2, S. B. CHOI3, S. M. YANG1, S. H. YOU1, J. H. LEE4, M. W. SUH1
1Sungkyunkwan University
2Sungkyunkwang University
3Sungkyunkwan Univ.
4Osan University
ABSTRACT
Drowsy behavior is more likely to occur in sleep-deprived drivers. Individuals
Key Words: Drowsy behavior, Acceleration, Steering angle, Random forest, Ensemble machine learning method, Vehicle safety
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