The paper entitled "Multi-Modal Online Exam Cheating Detection" proposed a system to detect cheating in online exams. It detects the student’s activity during the online exam using a webcam and sent a report to the proctor for the suspected student.
The modalities used are head-pose, object detection, and eye-gaze estimation. This proposed solution is tested and evaluated on 29 MSA students with a total of four exam sessions to ensure its effectiveness of the proposed solution. The events’ detection accuracy of the multi-modalities experiment was 95.69%.
The paper is now published, and can be viewed here: