A novel biometric identification based on a user's input pattern analysis for intelligent mobile devices

Hojin Seo, Eunjin Kim, Huy Kang Kim

Research output: Contribution to journalArticle

18 Citations (Scopus)


As intelligent mobile devices become more popular, security threats targeting them are increasing. The resource constraints of mobile devices, such as battery life and computing power, however, make it harder to handle such threats effectively. The existing physical and behavioural biometric identification methods - looked upon as good alternatives - are unsuitable for the current mobile environment. This paper proposes a specially designed biometric identification method for intelligent mobile devices by analysing the user's input patterns, such as a finger's touch duration, pressure level and the touching width of the finger on the touch screen. We collected the input pattern data of individuals to empirically test our method. Our testing results show that this method effectively identifies users with near a 100% rate of accuracy.

Original languageEnglish
Article number46
JournalInternational Journal of Advanced Robotic Systems
Publication statusPublished - 2012 Jul 27



  • Biometric
  • Input pattern analysis
  • Mobile security
  • Neural network
  • User identification

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Artificial Intelligence

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