A Feasibility Study of Driver's State Assessment System Using Audio and Video

2012 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2012-12-12 DOI:10.1109/ICCVE.2012.79

Hye-jin Kim, WooYoung Han

引用次数: 0

Abstract

This paper presents a method to estimate a driver's drowsiness and distraction using audio and video information. Drowsiness can be detected by eye movement and mouth movement. A driver's distraction can be estimated by a driver's voice detection using beamforming method and mouth movement.

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基于音频和视频的驾驶员状态评估系统可行性研究

本文提出了一种利用音频和视频信息来估计驾驶员困倦和分心的方法。睡意可以通过眼动和嘴动来检测。驾驶员的注意力分散可以通过使用波束成形方法和嘴部运动的驾驶员语音检测来估计。

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

2012 International Conference on Connected Vehicles and Expo (ICCVE)

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