Design And Implementation Of Mobile Game Addiction Prevention System B Ased On Eye Recognition Technology

This paper mainly introduces the development method of fatigue detection system with the help of cellphone front camera, and integrates it into the software to remind user of the fatigue state or closing the application.This fatigue detection system mainly involves portrait data collection, storage, processing, and recognition of human face position, so as to obtain a relatively accurate binary image of human eyes. Human eye opening and closure are recognized by algorithms. PERCLOS value is thus calculated. Then, fatigue detection is realized. And a reminder or alert is displayed on the cellphone for the user.This paper firstly made a mentioned to the necessity of mobile anti-addiction system design, through the statistical data shows that no matter from age, record of formal schooling for in the current society At the beginning of high school students is a major user mobile phone games, in today’s education is more and more busy, with mobile games as a diversion project, for his official duty, as a student to learn a great burden is necessary so that the students schedule reasonable use of online resources, specification of the designed to help students better learning.In this system, locating face is one of the necessary conditions for eye state, this paper USES the Gabor wavelet and AdaBoost combination method to locate the face; And then according to the geometrical characteristics of human face rough positioning of the human eye area。This paper elaborates the topic in several parts. The first part details the generation of visual fatigue, harm, and detection methods adopted in the world. The second part introduces the principle and structure of the human eye detection system. The third part takes advantage of AVCapture Session framework to take pictures with the camera and store it in the cellphone. The fourth part explains the human eye recognition way. Gabor and AdaBoost algorithm are used to realize human face detection and recognition. Moreover, this part explains how to convert grayscale to Gabor characteristic value picture, and how to use AdaBoost to filter the characteristic values and obtain the optimal solution. The fifth part is PERCLOS detection method. After human face recognition and human eye position feature detection, PERCLOS is used to calculate human eye closure and judge the fatigue state.Finally is done on the Xcode design has carried on the full text summary。...