You are what you type
Kathryn Hempstalk · 2008
kah18 |at | cs.waikato.ac.nz Being able to recognise a computer user by their typing rhythm is an effective way of protecting a computer from unauthorised use. Current techniques are accurate in re-stricted situations. In order to apply typist recognition to a wider range of scenarios, a dataset consisting of key press/ release data is required. With this data, it is possible to investigate methods of recognising a typist on a continuous basis. This paper discusses existing typist recognition tech-niques and the process of collecting a new dataset of typing data. Strategies to improve on the existing techniques us-ing the new data are proposed. The work covered here was undertaken in the first 18 months of PhD research.