Age group detection system using human-mouse interaction pattern
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Dr. Asim Ali
Committee Member 1
Dr. Asim Ali, Supervisor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi.
MSCS Survey Report
Mouse movements, Continous Authentication, Computer-Human Interaction
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.
Merchant, Z. A. (2019). Age group detection system using human-mouse interaction pattern (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/35
The full text of this document is only accessible to authorized users.