基于图像处理的上课疲劳检测

Class Fatigue Detection Based on Image Processing

疲劳是每个人都会出现的现象,这种现象在学生中较为普遍。部分学生由于沉重的学业压力,课堂效率不高,甚至在课堂上出现昏昏欲睡的现象。目前,对于上课疲劳的学生多数是依靠老师提醒或者同学提醒来提高注意力,但这两种方式都收效甚微。疲劳状态使学生的课堂效率低下,从而学习成绩下降,甚至产生了对学习的厌恶感,而为了提高成绩,他们在将利用更多的课余时间,花费更多的精力。这样恶性循环,对他们的身心健康也产生了巨大的负面影响。当前多数的研究仅仅只是针对疲劳的危害,而对于真正如何解决上课疲劳的方法还不明确。而本系统是以摄像头与计算机为纽带,以学生上课的眼睛为识别对象,采用教室内摄像头进行图像采集,利用中值滤波、直方图均衡化进行预处理,采用HSV颜色空间转化进行人脸区域定位,通过Adaboost级联分类器确定人眼位置,再根据灰度投影法确定上下眼的距离进而判断是否疲劳。从而实现其他方法所不能轻易完成或难以准确完成的疲劳检测,使上课疲劳的同学能被有效的帮助。

Fatigue is a phenomenon that occurs to everyone, which is common among students. Due to the heavy academic pressure, some students are not efficient in class, and even sleepy in class. At present, most students who are tired in class rely on teachers or classmates to remind them to improve their attention, but both methods have little effect. In order to improve their performance, they will spend more time and energy in their spare time. This vicious cycle also has a huge negative impact on their physical and mental health.Most ofthe current research only focuses on the harm of fatigue,and it is not clear how to solve the real problem of class fatigue.This system is based on the camera and the computer link, in the eyes of the students in class to identify objects, using cameras in the classroom to image acquisition, preprocessing, use median filtering, histogram equalization using HSV color space conversion, locate the face region by Adaboost cascade classifier determine the eye position, according to grayscale projection to determine the distance of the eye up and down again and then determine whether fatigue. So that other methods can not easily or accurately complete the fatigue detection, so that the class tired students can be effectively help.