What is it about?

Each user has a rhythm when typing on keyboard. It is not known if this rhythm is unique to each person, such as fingerprints. This paper examines whether it is possible to recognize if a user is male or female, by typing rhythm. The proposed method, because it does not depends on specific words or phrases, it is language independent.

Featured Image

Why is it important?

More and more often unsuspicious Internet users become victims of others that cover part or all of their identity, pretending people with different age, gender, educational level, or other characteristic. This method can reveal some characteristics of illegal user and in this way to protect the legitimate.

Perspectives

The ultimate goal is to implement a system that can recognize with high success rate gender, age group, dominant hand, educational level and other characteristics of a person typing on keyboard.

Dr Ioannis Tsimperidis
Democritus University of Thrace

Read the Original

This page is a summary of: Language-independent gender identification through keystroke analysis, Information and Computer Security, July 2015, Emerald,
DOI: 10.1108/ics-05-2014-0032.
You can read the full text:

Read

Contributors

The following have contributed to this page