A New Proposal for Person Identification Based on the Dynamics of Typing: Preliminary Results
Abstract
The availability of cheap and widely applicable person identification techniques is essential due to wide-spread usage of online services. The dynamics of typing is characteristic to particular users, and users are hardly able to mimic the dynamics of typing of others. State-of-the-art solutions for person identification from the dynamics of typing are based on machine learning. The presence of hubs, i.e., few instances that appear as nearest...
Paper Details
Title
A New Proposal for Person Identification Based on the Dynamics of Typing: Preliminary Results
Published Date
Feb 27, 2017
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