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Found 4 papers, 2 papers with code
TypeFormer: Transformers for Mobile Keystroke Biometrics
The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling for novel, secure, and unobtrusive solutions to verify the users' identity.
Mobile Keystroke Biometrics Using Transformers
One of the most popular traits in the literature is keystroke dynamics due to the large deployment of computers and mobile devices in our society.
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method.
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
This study proposes GaitPrivacyON, a novel mobile gait biometrics verification approach that provides accurate authentication results while preserving the sensitive information of the subject.
