自适应疲劳驾驶检测预警系统与方法
首发时间:2019-05-20
摘要:本文提供一种自适应的智能疲劳驾驶检测预警系统与方法,智能准确地为每个司机提供不同的检测预警方案。检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、触觉等方面的刺激的组合;本文的自适应定制化的疲劳驾驶检测预警系统不仅适用性强,而且大幅度提高了检测的准确性,同时对司机的习惯分析后智能地提供疲劳预警功能。
关键词: 自适应 疲劳驾驶 眼部识别 头部轨迹判断 心率监测 疲劳预警
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Adaptive Fatigue Driving Detection and Early Warning System and Method
Abstract:This paper provides an adaptive intelligent fatigue driving detection and early warning system and method, which intelligently and accurately provides different detection and early warning schemes for each driver. The detection criteria include the combination of head movement trajectory data, eye 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 self-adaptive customized early warning system for fatigue driving detection not only has strong applicability, but also greatly improves the accuracy of detection, and at the same time improves the habits of drivers. After analysis, fatigue warning function can be provided intelligently.
Keywords: Self-adaptation Fatigue Driving Eye Recognition Head Trajectory Judgment Heart Rate Monitoring Fatigue Warning
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