Title

Age group detection system using human-mouse interaction pattern

Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Fall 2019

Advisor/Supervisor

Dr. Asim Ali

Committee Member 1

Dr. Asim Ali, Supervisor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi.

Project Type

MSCS Survey Report

Access Type

Restricted Access

Keywords

Mouse movements, Continous Authentication, Computer-Human Interaction

Subjects

Computer Science

Abstract / Summary

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.

Pages

1

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