Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Submission

2019-12-01

Advisor

Dr. Asim Ali

Project Type

MSCS Survey Report

Abstract

The identification of human age at present is a very serious issue, for which a tool is proposed that helps to detect the person age using the mouse movements pattern of an individual. The experiment has proven to be able to detect identities with an accuracy rate above 85%. This tool exceeds the current authenticity of biometric systems available for identity verification and other traditional age detection methods. Furthermore, this tool offers several applications in multiple fields such as in law enforcement agencies, human computer interaction and age specific content visualization etc. This tool can be integrated with other interfaces like web and mobile based applications and security systems where this type of identification is crucial to ensure proper authentication.

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