Use of Deep Learning Based Face Recognition Approach in Teaching Management

• Main Authors: Jia-Huei Ren, 任家輝
• Other Authors: Ta-Cheng Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/6p4y5r

碩士 === 國立虎尾科技大學 === 資訊管理系碩士班 === 105 === This essay explores the problem of fairness and stability that exist on the present roll call system. According to the past literature, most of the roll call systems were developed by using RFID technology and geometric face recognition technique. As we know several disadvantages of current way of roll call should be solved. For example, the traditional roll call in the classroom is time consuming; the problem of RFID roll call system may give someone the chance to swipe other person''s card; and face recognition system cannot recognize the partially obscured image. It seems that very few literatures investigated the use of deep learning facial recognition in the teaching management. Therefore, we proposed that using deep learning based approach to recognize the students’ facial images so that attendance status of students can be then identified in classroom. Moreover, their emotions can be captured and analyzed by the proposed approach. We use RPN to improve the existing deep learning model to achieve better recognition accuracy. We proposed a new rule to improve the traditional roll call in classroom. It is based on the time that the students arrive in classroom to determine attendance rate and the time to stay in classroom, so that a fair and stable platform can be made. In this study, the modified convolutional neural network has been applied to increase the accuracy of facial recognition with/without partially obscured image. This study establishes a set of learning status judgment mechanism according to the ratio of students’ attendance time occupied by the total time, which is fairer than the traditional roll call in the classroom. In this thesis, a Teaching Management System (TMS) is proposed. By using the deep learning face recognition approach, the student''s learning status can be revealed so that teachers can be with more supporting in their teaching in terms of classroom management.