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This paper proposes a novel multi-modal method for automatic online proctoring using a combination of image processing, audio processing and PC monitoring techniques. In the proposed system the remote proctor only has to inspect the examination room. The proposed system is evaluated with a dataset mimicking the malpractice scenarios, the accuracy of the system is demonstrated with false positive rate of 0.08 and true negative rate of 0.13.
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