Mouse Usage Biometrics in eLearning Systems: Detection of Impersonation and User Profiling

Biometrics could be used to suppress impersonation in e-learning systems and thus to improve credibility of exams taken at home. Mouse usage characteristics are cheap and widely accessible alternative to other forms of biometrics reaching promising results in identity verification task. The paper provides preliminary results of cheating detection method based on mouse usage data gathered in an e-learning system. Mouse path is analyzed in deeper by decomposition to arcs and straight segments in order to study single-intent moves and to reveal curve characteristics. The paper also describes preliminary results of predicting learning styles of students according to the characteristics of computer mouse usage patterns for further recommendation of suitable materials.

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