Research on Abnormal Behavior Detection of Online Examination Based on Image Information
Senbo Hu, Xiao Jia, Yingliang Fu · 2018
Over the past few years, online exams have become popular because of their flexibility, usability, and user-friendliness. In term of online examinations, the abnormal behavior monitoring of the examiner during the examination is one of the major challenges. The traditional monitoring programs mainly focus on the identity of testers and lack the effective identification of abnormal behaviors of testers. Faced with the monitoring of abnormal behaviors in online examinations, this paper proposes to obtain the information of the examinee's head posture and mouth state through the webcam and to discriminate the abnormal behavior of the examiners during the online examination. This system has been tested in an online test scenario, making it easy to monitor the test. Experiments show that the proposed method performs better than the existing systems.