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FATIGUE STATE DETECTION METHOD BASED ON FACIAL FEATURE POINT POSITIONING

机译:基于面部特征点定位的疲劳状态检测方法

摘要

Disclosed is a fatigue detection method based on facial feature point positioning. A user aims a camera at a face, and during detection after an initialization stage, image of each frame inputted by a monitoring video is detected using a face detection and facial feature point positioning algorithm to obtain facial feature points. An eye-related area is determined according to the facial feature points of the user, and whether the user has closed eyes is determined according to a degree of change in a grayscale value of the eye-related area, and an alert concerning a fatigue level of the user is issued according to an eye closure condition in an adjacent frame. The present invention is simple to use, has a small amount of calculation, is accurate in determination, may be applied to a real-time environment, and effectively reminds the user to rest, thus ensuring life and property security of the user.
机译:公开了一种基于面部特征点定位的疲劳检测方法。 用户在脸部处针对相机,并且在初始化阶段之后的检测期间,使用面部检测和面部特征点定位算法检测由监视视频输入的每个帧的图像,以获得面部特征点。 根据用户的面部特征点确定眼睛相关区域,并且根据眼睛相关区域的灰度值的变化程度和有关疲劳水平的警报确定用户是否具有闭合的眼睛。 根据相邻帧中的眼睛闭合条件发出用户。 本发明易于使用,具有少量的计算,确定是准确的,可以应用于实时环境,并有效地提醒用户休息,从而确保用户的生命和性质安全性。

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