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Online-Exam-Cheating-Detection

This research project was conducted to detect cheatings in browser based online examinations through eye gaze tracking. A browser plugin to track the eye gaze movements through the in-built web camera. Using the plugin, we generate an eye gaze dataset while a student faces an online examination. We then process and analyze this dataset to detect any misbehavior during an online examination.

Folder Structure of the Repository

  • E - Proctor System : The final product of the research. Contains the e-proctor plugin and backend python code.
  • Visualization : Visualization of raw data and processed data for identifying patterns
  • Experiments : Anlaysis of processed data to detect cheatings with OCSVM.
  • Evaluation : Explains how the evaluations are conducted. It includes data sets, evaluation methods and evaluation results.

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Research on online examinations cheating detection with eye tracking and mouse tracking data

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