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自适应疲劳驾驶监测预警系统与方法
发表时间：2019-12-31 浏览量：825 下载量：118
| 全部作者： | 杜高明，郭广鑫，崔镇海，李桢旻，胡越，袁朗，陈灿 |
| 作者单位： | 合肥工业大学微电子学院 |
| 摘 要： | 研究提供一种自适应的智能疲劳驾驶监测预警系统与方法，可以智能准确地为每个司机提供不同的监测预警方案。监测标准包括头部运动轨迹数据、眼部数据、心率数据等驾驶状态的组合；根据疲劳程度不同，预警部分包括听觉、视觉、触觉等方面刺激的组合。本文自适应定制化的疲劳驾驶监测预警系统不仅适用性强，而且大幅提高了监测的准确性，同时可对司机的习惯进行分析后智能地提供疲劳预警功能。 |
| 关 键 词： | 信息处理技术；自适应；疲劳驾驶；眼部识别；头部轨迹判断；疲劳预警 |
| Title： | Mornitoring early warning system and method of adaptive fatigue driving |
| Author： | DU Gaoming, GUO Guangxin, CUI Zhenhai, LI Zhenmin, HU Yue, YUAN Lang, CHEN Can |
| Organization： | School of Microelectronics, Hefei University of Technology |
| Abstract： | A mornitoring early warning system and method of adaptive intelligent fatigue driving is provided in this paper, which intelligently and accurately provides different mornitoring early warning schemes for each driver. The detection criteria include the combination of driving conditions such as cephalic movement trajectory data, ocular data and heart rate data. According to the different degree of fatigue, the early warning part includes the combination of auditory, visual and tactile stimuli. The adaptive customized early warning system for fatigue driving mornitoring not only has strong applicability, but also greatly improves the accuracy of mornitoring. And at the same time, fatigue early warning function can be intelligently provided after analyzing the habits of drivers. |
| Key words： | information processing technology; adaptation; fatigue driving; ocular recognition; cephalic trajectory judgment; fatigue early warning |
| 发表期数： | 2019年12月第6期 |
| 引用格式： | 杜高明，郭广鑫，崔镇海，等. 自适应疲劳驾驶监测预警系统与方法[J]. 中国科技论文在线精品论文，2019，12（6）：1014-1021. |
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