Publication Type : Journal Article
Thematic Areas : Amrita e-Learning Research Lab
Publisher : Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
Source : Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015, Institute of Electrical and Electronics Engineers Inc. (2015)
ISBN : 9781467373333
Keywords : Audio processing, E-learning, Engineering education, Face recognition, False positive rates, Image processing, Inference systems, Monitoring techniques, Multi-modal, On-line examinations, Proctoring system, True negative rates
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : E-Learning
Year : 2015
Abstract : 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.
Cite this Research Publication : R. S. V. Raj, Narayanan, S. A., and Kamal Bijlani, “Heuristic-based Automatic Online Proctoring System”, in Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015, 2015.