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Age Group Detection System Using Human-Mouse Interaction Pattern
Abstract--- The identification of human age at present is a very serious issue, for which a tool is proposed that helps to detect the age using the mouse movements of an individual. The experiment has proven to be able to detect identities with an accuracy 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 utilities 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.