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    Performance analysis of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries by Zhenlong Li, Qingzhou Zhang, Xiaohua Zhao

    Published 2017-09-01
    “…The analysis was based on data obtained from a study that involved 22 subjects in the driving simulator located in the Traffic Research Center, Beijing University of Technology. Second, six classifiers were constructed for six curve segments, respectively, while only one classifier was constructed for all straight segments because the waveforms by subtracting the road curvature from the steering angle in the curve segments were different from the waveforms of the straight segments. …”
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