Abstract
This research proposes an upgrade to existing algorithms to build a model that detects cheating intent. The algorithm is supported by a composition of technologies and devices that includes a thermal detector attached with a surveillance camera and enhanced with an eye tracking system. Basically, when students intend to cheat, their body will emit a certain range of heat due to the interaction of the human’s body and their feelings. The emitted heat will trigger the camera to focus and detect the students’ face, next it will detect their eyes and start analyzing their movement and then determine whether a student has the intention to cheat or not. Eventually, applying this model would be very helpful in detecting the cheating intentions of the students, and the use of it is not limited to the educational environments only it could be applied on other areas with minor adjustment.
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Alrubaish, F.A., Humaid, G.A., Alamri, R.M., Elhussain, M.A. (2019). Automated Detection for Student Cheating During Written Exams: An Updated Algorithm Supported by Biometric of Intent. In: Alfaries, A., Mengash, H., Yasar, A., Shakshuki, E. (eds) Advances in Data Science, Cyber Security and IT Applications. ICC 2019. Communications in Computer and Information Science, vol 1098. Springer, Cham. https://doi.org/10.1007/978-3-030-36368-0_25
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