Physiological measurement used in real time experiment to detect driver cognitive distraction

A. Azman, S. Z. Ibrahim, Qinggang Meng, E. Edirisinghe
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引用次数: 5

Abstract

This paper discusses about lips and eyebrows are used to detect driver cognitive distraction by using faceAPI toolkit. A few number of classification algorithms like Support Vector Machine (SVM), Logistic Regression (LR) and Static Bayesian Network (SBN) and Dynamic Bayesian Network (DBN) have been used for accuracy rate comparison.
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利用生理测量方法实时检测驾驶员认知分心
本文讨论了通过使用faceAPI工具包,利用嘴唇和眉毛检测驾驶员的认知分心。支持向量机(SVM)、逻辑回归(LR)、静态贝叶斯网络(SBN)和动态贝叶斯网络(DBN)等几种分类算法已被用于准确率比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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