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An Implicit Author Verification System for Text Messages Based on Gesture Typing Biometrics

Proceedings of the 32nd SIGCHI Conference on Human Factors in Computing Systems (CHI 2014) - 2014
Gesture typing is a popular text input method used on smartphones. Gesture keyboards are based on word gestures that subsequently trace all letters of a word on a virtual keyboard. Instead of tapping a word key by key, the user enters a word gesture with a single continuous stroke. In this paper, we introduce an implicit user verification approach for short text messages that are entered with a gesture keyboard. We utilize the way people interact with gesture keyboards to extract behavioral biometric features. We propose a proof-of-concept classification framework that learns the gesture typing behavior of a person and is able to decide whether a gestured message was written by the legitimate user or an imposter. Data collected from gesture keyboard users in a user study is used to assess the performance of the classification framework, demonstrating that the technique has considerable promise.

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BibTex references

@inproceedings{BH14,
  author = {Burgbacher, Ulrich and Hinrichs, Klaus H.},
  title = {An Implicit Author Verification System for Text Messages Based on Gesture Typing Biometrics},
  booktitle = {Proceedings of the 32nd SIGCHI Conference on Human Factors in Computing Systems (CHI 2014)},
  year = {2014},
  publisher = {ACM Press},
  organization = {ACM},
  url = {http://viscg.uni-muenster.de/publications/2014/BH14},
}

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