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

2014 International Conference on Electronics, Information and Communications (ICEIC) Pub Date : 2014-10-02 DOI:10.1109/ELINFOCOM.2014.6914389

A. Azman, S. Z. Ibrahim, Qinggang Meng, E. Edirisinghe

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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来源期刊

2014 International Conference on Electronics, Information and Communications (ICEIC)

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