摘要
随着信息技术的高速发展, e-Learning系统提出并迅速在全世界得到推广。e-Learning实现了面对面教学中所无法体现的优势,它可以消除时间和空间的障碍,消除了人的年龄、身体状况、个体接受能力差异等在传统教学中不可回避的某些障碍,使得任何学习者可在任何地点、任何时间学习任何内容。这种方便、快捷、经济灵活而又有声有色的学习方式正越来越深刻地影响着现代教育,改变着人们的学习方式和学习内容。传统的e-Learning系统虽然实现了远程自主学习,但不能处理学习过程中师生情感沟通,不能达到情感育人的目的,学习效果不理想。
情感的交流在教学过程中是至关重要的,是最不应被忽视的。人工情感与模式识别的发展为解决其中的情感缺失问题奠定了理论和技术基础。学习者长时间面对冷漠无表情的屏幕会产生疲倦、反感情绪,若加入情感识别,对学习者的学习情绪进行捕捉和识别,并由此做出相应策略,可以更好地服务于自主学习。
本文通过对摄像头控制、人脸与人眼的检测和定位、注意力检测等的研究,提出了一种基于AdaBoost算法的直接对人眼睁闭状态进行检测的注意力识别方式。
本文的主要工作包括:
1、算法分析:本文比较了一些典型的人脸检测算法。鉴于待实现的是实时的人脸检测,对AdaBoost算法进行了详细的分析。选择AdaBoost算法作为本注意力识别中的人脸及人眼的检测和定位模块的算法。
2、实现过程:通过摄像头获得学习者的学习表情图像,对其进行人脸识别,在此基础上进行学生三种情感类型的判断,即正常学习状态、离开状态、瞌睡状态。利用VC++6.0和OpenCV实现人脸与人眼的定位。选用静态图像分析识别情感,系统实现时采用抓拍形式。设定相应的快门速度。采用一定间隔时间来检测人脸的有无与人眼的有无,据此判断学习者状态,并实施相应措施。
With the rapid development of information technology,the e-Learning system was proposed,and it obtains the promotion rapidly in the world. E-learning has realized the superiority which face-to-face in the teaching is unable to manifest, it might erase the barrier of the space,the time, the eliminates person's age , the physical condition, the individual to accept ability difference and so on the traditional teaching the unevadable certain barriers, it makes any learner may, at any place, any time to learn any thing.The convenient, fast, economical and nimble way of teaching is affecting the modern education more and more profoundly. Although the traditional e-Learning system has realized the long-distance independent study, but cannot solve the problem of emotion communication between the teachers and students in the learning process, and cannot achieve the goal of the teaching through emotion.The effect of learning is not very good.
The emotion communication in the teaching process is very important.It is most should not neglect. Artificial emotion and the development of pattern recognition to solve the problem of which lack the emotional lay the theoretical and technical foundation.The learner facing the indifferent non-expression's screen for long time,will produce fatigue, feelings of resentment. The modern e-Learning in which adding emotion recognition of the learners to capture and identify emotions ,can adjust the strategy of teaching, and may serve well the independent study.
Based on the research of the camera control, face and eye detection and localization, attention detection, A means of attention identification based on AdaBoost algorithm is proposed. It detects directly the state of human eyes The major work includes:
1.The algorithm selection: This article compares some typical face detection algorithm. Is to be achieved in view of real-time face detection, AdaBoost algorithm on a detailed analysis. AdaBoost algorithm chosen as the attention and recognition of face detection and eye localization algorithm module.
2.Implementation process: Through the camera get learners face images, its for face recognition, based on the students in this type of judge of three emotions that normal learning status, leave status, sleepy state. Using VC + +6.0 and OpenCV the attention of students is identified. Emotion recognition use static image analysis system to capture the form used in the implementation. Set the appropriate shutter speed. With a certain interval of time to detect the presence or absence of face and the availability of the human eye, to judge learner status, and implement appropriate measures.
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