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- W103659070 abstract "Being able to recognise a computer user by their typing rhythm is an eective way of protecting a computer from unauthorised use. Current techniques are accurate in restricted 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 techniques and the process of collecting a new dataset of typing data. Strategies to improve on the existing techniques using the new data are proposed. The work covered here was undertaken in the first 18 months of PhD research." @default.
- W103659070 created "2016-06-24" @default.
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- W103659070 date "2008-01-01" @default.
- W103659070 modified "2023-09-24" @default.
- W103659070 title "You are what you type" @default.
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